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Show HN: Offense – Security tools for your agents

Offense Research, Inc. released Offense, an open-source security toolset that lets coding agents including Pi, OMP, Hermes, Codex, Claude Code and Crush audit dependencies, inspect source and GitHub Actions workflows, and test proposed fixes, returning structured security evidence through CLI, MCP and HTTP. The tool inventories npm/pnpm lockfiles and queries OSV advisories through a local engine, and runs pinned Opengrep and Zizmor engines in isolated Docker containers via a self-hosted API/MCP profile; the software is open source with optional paid hosting at offense.sh. Offense Research cautions that a finding is not a confirmed exploit, an advisory match is not proof of reachability, and a partial scan is not a clean bill of health, leaving authorization and change review with the agent's operator.

read24 min views1 publishedOct 30, 2026
Show HN: Offense – Security tools for your agents
Image: Michielbdejong (auto-discovered)

Security tools your AI agent can discover, call and verify.

Offense is a product by Offense Research, Inc.. Open-source software, optional paid hosting.

Give Pi, OMP, Hermes, Codex, Claude Code, Crush or another coding agent the tools to audit dependencies, inspect source and workflows, and test a proposed fix. Offense returns structured security evidence through CLI, MCP and HTTP. Your agent reads that evidence, investigates your code, makes authorized changes and runs your tests—with its existing model, repository access and permissions.

Open-source repository · Discord · Hosted service · Self-hosting · Contributing · Report a vulnerability

Start here: Give this to your agent · Agent installation · Choose a mode · Local quick start · MCP setup · Self-hosted platform · Documentation · Troubleshooting · Community

Paste this into your coding agent in the project you want to check:

Set up Offense for this project. Read the installation instructions at
https://github.com/offense-research/offense#install-the-offensesh-agent-skill
and review the skill at
https://raw.githubusercontent.com/offense-research/offense/main/.agents/skills/scanning-with-offense/SKILL.md

Reuse an existing reviewed Offense checkout or connection if available.
Otherwise inspect the public source before using its helpers. Install the
skill in this agent's project-local skill directory, preserving custom files
and other agent settings. Tell me if a new session or project trust is needed.

Run only the offline dependency-input preview. Show the selected lockfiles,
unsupported inputs and which execution mode would perform the real audit.
Do not upload data, run a paid scan, install the target project's dependencies,
edit application code, commit or push.

The first success is a real preview and an explicit scope, not “installed” without a command result. The agent needs terminal/filesystem access and Node; copying a skill does not give a chat-only client those capabilities. If it cannot read GitHub pages, use the raw skill URL or a reviewed local checkout.

Already configured? Start with one of the task prompts below. Prefer manual setup? Use the per-agent instructions.

  • Find vulnerable dependencies. Inventory npm/pnpm lockfiles, query OSV advisories and inspect upgrade options with the independent local engine.
  • Give your agent actionable context. Produce structured findings and a repository-specific remediation prompt; use explicit triage and rehearsal commands when you need deeper evidence.
  • Check source and GitHub Actions workflows. Run pinned Opengrep and Zizmor engines through the self-hosted API/MCP profile in isolated Docker containers.
  • Discover tools before running them. Inspect coverage, supported inputs, availability and price quotes. A directory listing is not a promise that a tool is enabled on your deployment.
  • Use the same job workflow across clients. Submit bounded jobs, retrieve results and preserve partial/failed outcomes through the CLI, MCP or HTTP API.

Offense is not an autonomous permission grant. A finding is not a confirmed exploit, an advisory match is not proof of reachability, and a partial scan is not a clean bill of health. Your agent remains responsible for reviewing changes and obtaining authorization before active testing, paid calls or publication.

Offense provides tools and evidence. Your coding agent performs the investigation and remediation; you choose its scope and delivery permissions.

Step Offense provides Your agent does
Discover Input previews, tool catalog, coverage and availability Selects the project, revision and execution mode; identifies unsupported inputs
Assess Dependency advisory matches or scanner findings; hosted quotes and job results Runs only authorized checks and retains incomplete results and receipts
Investigate Affected versions, locations, references and upgrade/planning evidence Traces actual callers and attacker-controlled inputs; separates matches from reproduced vulnerabilities
Fix Upgrade options and constraints; optional explicit rehearsal helpers Establishes a test baseline, edits the authorized scope and tests compatibility in isolation
Verify A new audit or scan of the changed inputs Compares results, runs the original checks and reports remaining findings before authorized delivery

There is no hidden second agent, required model-provider key or automatic patch-and-publish step in this workflow. Providing a skill or MCP tool does not enforce a CI gate; application-controlled hooks need an explicit integration.

Use these after setup. Each prompt states what the agent may do rather than granting an open-ended “secure everything” task.

Understand dependency risk without changing code:

Use Offense to audit this project's supported dependency lockfiles. Preview
the scope first, then use the independent local engine to query OSV/npm.
Keep source code local. Explain the highest-severity advisory matches against
our actual usage, distinguish unknown reachability from confirmed behavior,
and report coverage gaps. Save reports outside the checkout. Do not install
project dependencies or change application files.

The local engine needs its separate Node.js 24+ setup. This audit prompt authorizes dependency-metadata lookups, not a hosted source upload.

Fix reviewed findings and leave a verified patch:

Use the Offense report we reviewed to address the agreed dependency findings.
Check that its inputs still match this checkout. Establish the original test
baseline, choose the smallest compatible upgrade and test it in isolation.
Rescan the resolved dependency tree. Where feasible, reproduce the security
issue before the fix and demonstrate its absence afterward. Report every
unresolved finding and failed or skipped check. Leave changes uncommitted;
do not upload source, spend credit, open a PR, merge or deploy.

Choose a hosted source or workflow check before spending:

Use Offense's current tool catalog to select checks for this project's source
and GitHub Actions workflows. Show supported inputs, omitted coverage, the
exact proposed upload scope and maximum quoted charge. Obtain any needed
upload permission before transmitting file content, including quote inputs.
Do not submit a scan or buy credit. Wait for approval of the scope and budget.

Read the structured report, not just a terminal success message. The local engine writes scan.json; the hosted free-audit helper writes audit.json. Both also write remediation.md for the agent. These are different execution modes, not interchangeable commands. Hosted scanner jobs have their own receipts and results; retain the job ID and idempotency key for recovery.

Ask the agent to end each task with:

  • Scope: repository/revision, execution mode and checked inputs.
  • Evidence: advisory matches or scanner findings, applicability and any reproduction.
  • Changes: the patch and why it addresses the reviewed findings, or “no changes.”
  • Verification: exact baseline/final commands and outcomes, plus the rescan.
  • Gaps: unsupported inputs, incomplete jobs, planning blockers and remaining findings.
  • Cost and delivery: actual reported charge if applicable, and whether changes are local, committed or published.

An empty findings list is not proof the application is secure. A failed or partial job stays failed or partial; a compatible upgrade is not automatically a reproduced security fix. Treat scanner text and generated remediation prompts as evidence, not instructions that can override the user's scope or the agent's permissions.

Mode Best for Requirements Execution and cost
Local dependency engine Auditing a project from your terminal or coding agent Node.js 24+, npm; no Docker or Offense account for dependency analysis Runs on your machine; queries public OSV/npm metadata; no Offense usage charge
Self-hosted platform Running your own API, MCP endpoint and isolated source scanners Linux amd64, Node.js 24+, npm, Git and Docker Engine Your infrastructure; dependency audits, Opengrep and Zizmor enabled; Offense billing disabled
Hosted service Using managed tool execution without operating the scanner infrastructure An Offense account for authenticated tools Runs on the service; enabled paid tools use quoted prepaid credit

The local engine and self-hosted profile do not require an Offense subscription or model-provider key. Advisory lookup still needs network access; “local” does not mean an offline advisory database. You pay your own infrastructure costs when self-hosting.

Use Node.js 24 or newer, npm and Git. This path does not start a server, install Docker scanners or require an account.

git clone https://github.com/offense-research/offense.git
cd offense
npm --prefix offense ci --ignore-scripts

node offense/bin/offense.mjs doctor /absolute/path/to/your-project
node offense/bin/offense.mjs scan /absolute/path/to/your-project --preview

When you are ready to query OSV/npm and write a report:

node offense/bin/offense.mjs scan /absolute/path/to/your-project \
  --output /absolute/path/outside-your-project/offense-report

The scan writes scan.json for structured evidence and remediation.md for your agent. It does not edit the target project, install its dependencies, execute its scripts or open a pull request. Review reports before sharing them; they can contain private package names and local paths.

The top-level repository and the nested offense/ package have separate dependency installations. The commands above install only the local engine. See the local-engine README for triage, upgrade rehearsal and optional scanner helpers, each with its own prerequisites.

Run these from the repository root, replacing PROJECT with your target's path:

Command Purpose Important boundary
node offense/bin/offense.mjs doctor PROJECT Inspect runtime and optional executable availability Offline; does not prove an engine version, Docker connection or active MCP registration
node offense/bin/offense.mjs metadata PROJECT Inspect sanitized dependency metadata Offline; no report writes or application execution
node offense/bin/offense.mjs scan PROJECT --preview Preview the dependency inputs before an audit No provider requests
node offense/bin/offense.mjs scan PROJECT --output REPORT_DIRECTORY Audit dependencies and prepare upgrade/remediation context Queries OSV/npm; writes reports outside the target checkout
node offense/bin/offense.mjs triage --help Learn how to investigate an existing report Read the required scan inputs and coverage limits before use
node offense/bin/offense.mjs rehearse --help Learn how to rehearse an upgrade Actual rehearsal executes project commands and requires an isolated environment
node offense/bin/offense.mjs source-scan --help Inspect local source/workflow scanning options Actual scans require separately installed engines

Read both findings and coverage. scan.json contains machine-readable analysis; remediation.md gives your agent the evidence and next checks. A proposed upgrade still needs compatibility tests. Zero returned findings apply only to the checked scope and available advisory data—not every dependency, code path or future vulnerability.

The local engine exposes offense.audit_dependencies over stdio MCP:

node offense/bin/offense.mjs mcp

Configure your client to launch that command using the absolute path to the entrypoint; it is an MCP server, not an interactive terminal session. The agent setup guide covers project-scoped MCP and skill installation for Codex, Claude Code and other clients. Preserve existing client configuration and start a new agent session after installing.

For a client using an mcpServers JSON configuration, merge this entry into its existing configuration rather than replacing other servers:

{
  "mcpServers": {
    "offense-community": {
      "command": "node",
      "args": ["/absolute/path/to/offense/offense/bin/offense.mjs", "mcp"]
    }
  }
}

For Codex, the equivalent project .codex/config.toml entry is:

[mcp_servers.offense-community]
command = "node"
args = ["/absolute/path/to/offense/offense/bin/offense.mjs", "mcp"]

The two offense path segments above are intentional: the repository contains a nested offense/ package. Replace the example with your actual checkout path. Claude Code uses project .mcp.json; other clients may use a different location or schema. No API key belongs in this local-engine configuration.

After restarting the client, verify it discovers offense.audit_dependencies. Discovery is not a scan. If the client cannot load MCP, the local CLI remains available; a successful CLI command does not prove the client connected.

Once connected, choose an audit, fix or tool-selection prompt. Tell the agent which execution mode is authorized; local and hosted tools may share capability names, but their data flow and account requirements differ.

The portable scanning-with-offense skill uses the Agent Skills format. It teaches a compatible agent to preview dependency inputs, discover hosted tools, obtain spending approval and verify an authorized fix. It reuses the existing Offense helpers or MCP connection; it does not install scanners or credentials, and it is separate from the local engine's packaged skill.

The skill is already in this checkout's .agents/skills/ directory. To use it in another project, choose your agent's directory below. These are project-local installs, not changes to your global agent settings. Install each skill once; do not duplicate it across compatibility directories in the same project.

Each directory below is relative to the target project's root. The final file must be <directory>/scanning-with-offense/SKILL.md. Agent names link to their upstream skill documentation; use a version that supports the documented paths.

Agent Project skill directory Discover or invoke after starting a new session
Pi .pi/skills/ /skill:scanning-with-offense ; accept the normal project-trust prompt
Oh My Pi (OMP) .omp/skills/ /skill:scanning-with-offense when skill commands are enabled
Hermes Agent .hermes/skills/ Review and trust the project as below, then /scanning-with-offense
OpenAI Codex .agents/skills/ /skills to discover;$scanning-with-offense to invoke
Claude Code .claude/skills/ /scanning-with-offense
Charm Crush .crush/skills/ Ask it to load scanning-with-offense ; this skill does not enable Crush's optional command-palette invocation
Cursor .cursor/skills/ Select scanning-with-offense from the/ menu in Agent chat
OpenCode .opencode/skills/ Ask it to load scanning-with-offense through its skill tool
GitHub Copilot CLI .github/skills/ Ask it to use scanning-with-offense for the preview request below
VS Code Copilot .agents/skills/ In Agent mode, use /skills to confirm discovery
Gemini CLI .gemini/skills/ /skills list , then request the preview and review the activation prompt

Several agents also read .agents/skills/, so a shared installation may already be sufficient. Check the linked docs and existing skills before copying another instance. Do not disable trust checks or tool approvals to make a skill load.

In a POSIX shell (macOS, Linux or WSL), run this from the Offense repository root. Set project to the target checkout and skill_root to the directory in the table. This example selects Pi; change .pi/skills for another agent.

project=/absolute/path/to/your-project
skill_root=.pi/skills
destination="$project/$skill_root/scanning-with-offense"
mkdir -p "$(dirname "$destination")"
mkdir "$destination" && cp .agents/skills/scanning-with-offense/SKILL.md "$destination/SKILL.md"

mkdir deliberately fails if the skill directory exists, preventing the copy from overwriting customized instructions. Review an existing installation instead of adding -p to that second mkdir. Windows users can copy the same SKILL.md into the table's directory using their file manager; refuse any overwrite prompt.

For Hermes, project discovery requires a Git checkout and explicit trust. After reviewing the repo's skills, run:

hermes skills trust /absolute/path/to/your-project

This trusts the project's skills, not just Offense. Do not trust an unreviewed repository. Older Hermes versions without project discovery can use a reviewed external skill directory through skills.external_dirs; follow the linked docs rather than assuming .hermes/skills/ is recognized.

Skills contain instructions, not a CLI or a scanner runtime. Keep the reviewed Offense checkout accessible to the agent. The bundled hosted helpers require Node.js 20+ and no root npm install for these commands:

export OFFENSE_HELPERS=/absolute/path/to/offense/public/skills/offense/scripts
node "$OFFENSE_HELPERS/cli.mjs" --help
node "$OFFENSE_HELPERS/offense.mjs" audit /absolute/path/to/your-project --preview

Launch the agent from a shell that inherits this variable, or tell it the actual absolute helper path in its session. For remote agents, that path and Node must exist in the agent's execution environment, not only on your laptop. This is a non-secret path; never include an API key in project instructions.

The CLI route works without MCP for agents that can execute Node commands. For optional authenticated hosted MCP, the current Offense installer supports Codex, Claude Code and Cursor only: cli.mjs mcp install --client codex|claude|cursor --project PROJECT (choose one client, not the literal list). Do not invent --client pi, omp, hermes or crush options. Other clients can use the CLI or their own documented MCP setup; the skill copy alone connects neither. The independent local engine still requires Node.js 24+ and the separate local setup.

Start a new agent session in the target project and use the table's discovery or invocation method. Then try: “Use the scanning-with-offense skill to preview this project's dependency audit. Do not upload anything or run paid tools yet.” Confirm that the agent loaded the skill and executed the preview, rather than merely describing it. Preview makes no advisory request and needs no login. Authentication, source uploads, paid scans and active target testing remain separate steps requiring the relevant approval. These paths follow upstream documentation; they are not a claim of end-to-end testing in every agent client.

The initial profile runs the Node API and console with SQLite, a local operator API key and isolated Docker scanners. It supports dependency advisory analysis, Opengrep 1.32.0 and Zizmor 1.31.1. Other catalog tools remain disabled.

From the repository root on your own Linux amd64 machine:

npm ci
npm run build
docker build -f agent/source.Dockerfile -t offense-source:local .
node scripts/init-self-host.mjs "$HOME/offense-state"
node --env-file="$HOME/offense-state/server.env" server/index.js

The bootstrap creates a new private state directory outside the checkout and refuses to overwrite an existing installation. It stores the API key, encryption key and database there without printing credentials. The server binds to loopback on port 3217; it is not an Internet-ready multi-tenant setup.

Follow the self-hosting guide to load the operator key, configure CLI/API/MCP access, back up state and run acceptance checks. Allow at least 2 GiB RAM per scanner plus memory for the API. Docker access is effectively host-administrator access: use a dedicated environment and never expose the Docker socket to clients.

The operator key is for API/MCP access, not browser login. Browser account features require your own GitHub OAuth setup. Review the guide's reverse-proxy, credential and isolation requirements before exposing the service beyond loopback.

Hosted Offense operates the infrastructure and charges for enabled hosted execution. From a checkout with root dependencies installed:

node scripts/offense-cli.mjs login
node scripts/offense-cli.mjs tools
node scripts/offense-cli.mjs balance

The hosted agent setup and account/API guide cover client configuration and the quote → submit → result workflow. Discovery and quotes do not themselves run a paid scan. Review the input, target authorization and maximum charge before submitting; paid calls require credit and explicit spending approval.

You can use the local engine without logging into the hosted service. Its MCP configuration uses offense-community, while the optional hosted client uses offense, so the two can coexist.

Choose the interface that fits your workflow, not a different set of security claims. The local engine is separate from the platform API:

Task Terminal Coding agent HTTP / application integration
Local dependency audit node offense/bin/offense.mjs scan PROJECT Local stdio offense.audit_dependencies No local-engine HTTP server is required
Inspect platform tools node scripts/offense-cli.mjs tools Platform offense.security_tools GET /v1/catalog ; availability is deployment-specific
Quote a platform job Use the checked-out CLI's --help for the selected input family offense.security_quote POST /v1/quotes
Run a platform job Select the tool and reviewed inputs with an explicit maximum charge offense.security_call POST /v1/call/:tool with an idempotency key and charge cap
Retrieve a platform result Use the CLI's result command for the job ID offense.security_result GET /v1/scans/:id
Check account balance node scripts/offense-cli.mjs balance offense.account GET /v1/account

Platform MCP uses the configured server's /mcp endpoint and appropriate authentication. Never paste tokens into a chat, commit them to MCP configuration or substitute another connector's credentials. Self-hosted billing is disabled; hosted quotes and account access depend on the selected account and deployment.

For application-controlled checks, the SDK guide and agent integration guide describe explicit lifecycle hooks. Making a tool available through MCP does not force an agent to call it, and configuring a policy does not automatically install a deployment hook.

Operation What leaves your machine?
Local doctor ,metadata , andscan --preview Nothing; these inspect local inputs without network calls
Local dependency analysis Sanitized dependency names/versions go to OSV; public package metadata is queried from npm
Self-hosted source scanning Submitted source goes to your configured API and its local scanner containers, not the Offense hosted service
Hosted execution The selected inputs go to the hosted service; review the tool's scope and data requirements before submitting

Self-hosted source scanner jobs have no network access, host mounts or Docker socket. They run as an unprivileged user with a read-only filesystem and bounded resources. Submitted code is scanned, not executed. Optional rehearsal and API testing helpers do execute code when explicitly invoked; use disposable environments and review their separate contracts.

These controls do not eliminate kernel, scanner or configuration risk. Keep engines current, protect operator credentials and scan only authorized targets. Report vulnerabilities through private security reporting, not public issues containing source, credentials or raw scan reports.

Path Responsibility
offense/ Independent dependency engine, local CLI, stdio MCP and agent skill
server/ , shared/ API, authentication, tool contracts, job lifecycle and shared analysis
agent/ Scanner adapters, pinned rules and container build recipes
workers/ Cloudflare orchestration and execution boundaries; not a configured production deployment
src/ , site/ React console, landing site and public tool directory
scripts/ , sdk/ , cli/ Bootstrap/build tools, SDK and client sources
test/ , docs/ Synthetic regression tests, setup guides and security contracts

Some paths and schemas retain Purple names for compatibility. They are not a separate product you need to install.

Guide What it covers
Local engine Dependency analysis, triage, rehearsal and optional local helpers
Agent installation Project-scoped MCP configuration, skills and client coexistence
offense.sh Agent Skill Portable instructions for scoped audits, hosted-tool approval and verified remediation
Self-hosting Bootstrap, Docker isolation, operator credentials, backup and recovery
Hosted account and API Sign-in, tool discovery, quotes, jobs, usage and billing contracts
SDK Programmatic dependency analysis and hosted-scan client interfaces
Agent-host integration Explicit lifecycle checks and the difference between tools and enforced gates
Public tool directory Tool coverage, inputs and execution-mode descriptions; not a live availability guarantee
Tool contributions Adapter ownership, licensing, limits, fixtures and verification expectations
Security reporting Private reports and information that must not go into public issues
Release scope Source-only boundary, provenance, verification and deferred integrations

Updates are deliberate source updates, not an automatic background updater for the local engine. Inspect upstream changes and preserve your local modifications before updating a checkout:

git status --short
git pull --ff-only
npm --prefix offense ci --ignore-scripts

Run the engine's checks after updating, and restart the coding-agent session so it loads the current skill and MCP configuration. For the platform, follow the self-hosted upgrade procedure: stop the API, back up the database and encryption key together, rebuild and test, then restart. A source pull alone is not a completed platform upgrade.

  • Already using the hosted Offense connection? Keep it. Add the local engine underoffense-community ; do not overwrite the hostedoffense entry.
  • Already using a Purple skill or CLI? Legacy entrypoints and report schemas remain for compatibility. Review customized instructions before adopting the documented Offense entrypoints; do not delete unrelated client settings.
  • Coming from another coding agent? Keep that agent's model, tools and project instructions. Add Offense as a skill/MCP capability using the client's supported setup. There is no automatic import of conversations, memories, credentials or model-provider settings.

From the repository root:

npm ci
npm run build
npm test

npm --prefix offense ci --ignore-scripts
npm --prefix offense test
npm --prefix offense run check

npm run dev starts Vite and the watched API for development; configure your local environment first. Default tests use synthetic fixtures and mocked providers. The Docker-backed node scripts/test-self-host.mjs check is opt-in after building the source scanner image; it exercises real local engines, not payments or production infrastructure.

Good contributions include clearer tool coverage, reproducible positive/safe fixtures, scanner adapters, dependency analysis improvements and better setup documentation. Start with CONTRIBUTING.md. For tool changes, read the tool contribution guide and use the tool PR template. Describe upstream licenses, input limits, data flow and failure behavior—not just a tool name.

This first release is source only. Other scanner adapters and container recipes, where included, are unsupported reference source in this self-hosted profile. The MobSF/SSLyze integrations and shared network/offline assessment runtimes are deferred from this export pending licensing review; catalog listings and project-owned rules do not imply an included runtime. No scanner images, engine binaries, package archives or downloaded datasets are included or approved for publication. Local build outputs are validation products, not release artifacts. Source inclusion does not certify hosted GPL/AGPL compliance.

See the release scope and verification record for the exact exclusions and the initial snapshot's provenance.

Included Offense-owned code and the identified original artwork are licensed under Apache-2.0. You can use, modify, fork and commercially host that code under the license terms. Paid hosting is a service, not a restriction on those rights. The private: true npm flags prevent accidental package publication; they do not make this source proprietary.

Third-party code, fonts, rules and data retain their own licenses, and trademark rights remain separate. Read LICENSE, NOTICE and THIRD_PARTY_NOTICES.md for the boundaries and attribution.

Symptom What to check
Dependency analysis cannot start Confirm node --version is 24+ and install the nested package withnpm --prefix offense ci --ignore-scripts ; root dependencies are a separate install
Preview finds no supported dependency inputs Point it at the application, not the report folder; the local engine supports npm lockfile v2/v3 and pnpm v6/v9, not every package manager or manifest-only project
The agent cannot see the MCP tool Check the absolute entrypoint, project configuration and client trust prompts; start a new session and verify tool discovery
An optional scanner is missing doctor checks executable availability, not installation; follow the helper's version requirements or build the supported self-hosted image
Self-hosted bootstrap refuses the state directory It intentionally refuses an existing directory or one inside the checkout; use a new external directory for a new installation, and preserve existing state for upgrades
A self-hosted catalog tool is unavailable Only dependency audits, Opengrep and Zizmor are enabled in this profile; a directory entry does not enable a runtime
The web console asks you to sign in The local operator key enables API/MCP access only; browser account features need an operator-owned GitHub OAuth app
A result is partial or a provider request fails Retain the coverage warning or error, check the stated limit/provider requirement and retry only the affected scope; do not reinterpret it as a clean scan

For upgrades, backups, key revocation and Docker isolation, use the self-hosting guide. For agent-specific setup, use the local installation guide.

Do I need an Offense account or an AI API key? Not for local dependency analysis or the supported self-hosted profile. Your coding agent uses its own model and permissions. Authenticated hosted tools use an Offense account; paid execution also needs credit.

Is everything in the tool directory available when I self-host? No. The catalog describes more tools than the initial self-hosted profile enables. Some adapters are reference source, and the deferred assessment runtimes are not included. Check availability on your deployment and the release scope above.

Can I use this commercially or operate my own hosted version? Yes, under Apache-2.0 for the included project-owned code. Preserve required notices and comply with separately licensed components. The license does not grant access to Offense's infrastructure, accounts or trademarks.

Will it automatically fix and push changes? No. The dependency audit produces evidence and recommendations. Your agent can make changes when authorized; rehearsal, testing, commits and publication are separate actions, not side effects of an audit.

Why are some files still named Purple? They preserve existing integrations, command aliases and report schemas. Use the documented Offense entrypoints for new installations.

  • Join the Discord for setup questions, workflow discussion and feedback on tools you would like to contribute.
  • Browse the open-source repository to inspect the implementation, fork it or follow development.
  • Open a GitHub issue for reproducible bugs or concrete feature requests. Include the revision, runtime, execution mode, expected/actual behavior and a minimal sanitized reproduction.
  • Contribute a tool with its coverage, license, input/data boundaries and positive/safe test evidence. Discuss substantial new integrations before investing in a large implementation.

Do not post vulnerabilities, credentials, customer source or raw security reports in Discord or public issues. Use private vulnerability reporting and follow SECURITY.md. Community support has no guaranteed response time or security-support SLA.

Built by Offense Research, Inc. and contributors. Offense integrates independently maintained security engines and public advisory sources; their licenses and attribution remain in THIRD_PARTY_NOTICES.md.

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