MCPInstall

verify

Verify harness changes end-to-end without docker — drive the real pinned CLI against a header-capturing stub server with the exact env resolveauthenv() produces.

Installs
234
Last 24h
—
Trending rank
—
Security
Not audited

Install

Works with every agent the skills CLI supports.

npx skills add https://github.com/anthropics/defending-code-reference-harness --skill verify
  1. 01

    Install

    Run the command in your project. The CLI asks which agents to install for.

  2. 02

    Describe the task

    Ask your agent for something this skill covers. It loads verify automatically when relevant.

  3. 03

    Review the result

    The agent follows the SKILL.md steps, scripts and references bundled with the skill.

SKILL.md

The instructions your agent reads when the skill is triggered.

Verifying harness changes on a docker-less host

The pipeline's real surface is the in-container claude -p process and its outbound API requests. Without docker, drive the same pinned CLI binary directly with the env dict the harness would inject via docker -e.

Recipe

  1. Get the pinned CLI (version from harness/agent_image.py:CLAUDE_CODE_VERSION): npm install --no-save @anthropic-ai/claude-code@<pin> in a temp dir → binary at node_modules/@anthropic-ai/claude-code/bin/claude.exe (the .exe name is the real native-binary entry on Linux too, filled in by the package's postinstall — not a Windows leftover).
  2. Stub API server: a tiny HTTP server that appends each request's headers to a JSONL file and returns a 400 invalid_request_error (non-retryable, so the CLI exits fast; exit=1 is expected).
  3. Build the agent env exactly as the pipeline does: python3 -c "from harness.auth import resolve_auth_env; ..." and dump to an export-lines file with shlex.quote (values contain newlines — NEVER pass via env $(...), word-splitting mangles them; source the file).
  4. Emulate the container env: unset ANTHROPIC_CUSTOM_HEADERS (and any other ambient var not in the resolved dict) before sourcing — a Claude Code session in this repo injects .claude/settings.json env into shells, which containers never see.
  5. Run: ANTHROPIC_BASE_URL=http://127.0.0.1:<port> CLAUDECODE= IS_SANDBOX=1 timeout 30 <cli> -p hi --model claude-sonnet-4-5 --max-turns 1, then read the captured JSONL.

Gotchas

  • Unit tests in tests/test_patch.py / tests/test_patch_grade.py need docker and fail on docker-less hosts — pre-existing, not your change.
  • The docker -e injection leg itself can't be exercised without docker; it's the same mechanism that carries ANTHROPIC_API_KEY in production.
  • For the interactive-skills surface, copy .claude/settings.json into a fresh temp dir and run the host claude from there (with ambient ANTHROPIC_CUSTOM_HEADERS unset so settings.json is the only source).

FAQ

What does the verify skill do?

Verify harness changes end-to-end without docker — drive the real pinned CLI against a header-capturing stub server with the exact env resolveauthenv() produces.

How do I install verify?

Run npx skills add https://github.com/anthropics/defending-code-reference-harness --skill verify in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/verify/ (personal) or .claude/skills/verify/ (project).

Which AI agents can use verify?

Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.

Is verify safe to install?

No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.

Who maintains verify?

It is published by anthropics in anthropics/defending-code-reference-harness. It has 234 recorded installs.

More from anthropics/defending-code-reference-harness

View all →

threat-model

anthropics/defending-code-reference-harness

Build a threat model for a target codebase. Three modes: "interview" walks an application owner through the four-question framework and produces a threat model from their answers; "bootstrap" derives a threat model from the code plus past vulnerabilities (CVEs, git history, pentest reports) when no owner is available; "bootstrap-then-interview" chains the two when both owner and codebase are present. All write THREATMODEL.md in a shared schema. Use when asked to "threat model", "build a threat model", "map the attack surface", or "what should we be worried about in this codebase".

Security1.2K installs

vuln-scan

anthropics/defending-code-reference-harness

Static source-code vulnerability scan. Reads a target directory (and THREATMODEL.md if present), spawns parallel review subagents per focus area, and writes VULN-FINDINGS.json + .md for /triage to consume. Read-only — no building, running, or network. For execution-verified crashes, use vuln-pipeline instead. Use when asked to "scan for vulns", "review this code for security issues", "find bugs in ", or as the step between /threat-model and /triage.

Security1.1K installs

triage

anthropics/defending-code-reference-harness

Triage a batch of raw security findings. Verify each is real, collapse duplicates, re-rank by derived exploitability, and tag with an owner. Takes a directory or file of scanner output and writes TRIAGE.json + TRIAGE.md sorted by what actually needs engineering attention. Use when asked to "triage findings", "validate scanner output", "prioritize vulns", or "review the backlog". Runs interactively by default; pass --auto to skip the interview.

patch

anthropics/defending-code-reference-harness

Generate candidate fixes for verified security findings. Consumes TRIAGE.json (preferred), VULN-FINDINGS.json, INCIDENTS.json, or a vuln-pipeline results directory. Pipeline input is delegated to the execution-verified vuln-pipeline patch ladder; static-analysis input gets a per-finding patch subagent + independent reviewer and is written as inert diffs for human review. Writes PATCHES/bugNN/{patch.diff,patchresult.json}, PATCHES.md, and PATCHES.json. Use when asked to "fix the findings", "patch these vulns", "generate fixes", or "close the loop on triage".

customize

anthropics/defending-code-reference-harness

Adapt this C/C++ ASAN vulnerability pipeline to a different vulnerability class, target shape, language, or detection mechanism. Use when the user wants to port, migrate, retarget, customize, or fork the pipeline for something other than C/C++ memory-safety bugs — web apps, smart contracts, deserialization, ML systems, or any other domain.

Security1.1K installs

quickstart

anthropics/defending-code-reference-harness

The front door for this repo. With no argument: a 30-second intro, then an offer to walk you through your first run on the canary target. With a question: answers it from this repo's own docs and source, cites where it looked, and hands you the next command. Use for "how do I…", "why does…", "where is…", "can this…", or just "/quickstart" to get oriented.

Docs & Writing1.1K installs

Popular backend & apis skills

View category →

find-skills

vercel-labs/skills

Helps users discover and install agent skills when they ask questions like "how do I do X", "find a skill for X", "is there a skill that can...", or express interest in extending capabilities. This skill should be used when the user is looking for functionality that might exist as an installable skill.

OfficialBackend & APIs4.1M installs

entra-app-registration

microsoft/azure-skills

Guides Microsoft Entra ID app registration, OAuth 2.0 authentication, and MSAL integration. USE FOR: create app registration, register Azure AD app, configure OAuth, set up authentication, add API permissions, generate service principal, MSAL example, console app auth, Entra ID setup, Azure AD authentication. DO NOT USE FOR: Key Vault secrets (use azure-keyvault-expiration-audit), general Azure resource security guidance.

OfficialBackend & APIs566.7K installs

This skill should be used when the user wants to "write agent code", "build an agent with ADK", "add a tool", "create a callback", "define an agent", "use state management" — in a project that needs ADK (Agent Development Kit) API patterns and code examples. It provides a quick reference for agent types, tool definitions, orchestration patterns, callbacks, state management, the graph Workflow API, and reference recipes to study. Do NOT use for scaffolding (use google-agents-cli-scaffold) or deployment (use google-agents-cli-deploy).

Backend & APIs514.8K installs

embedded-captions

heygen-com/hyperframes

Add captions or subtitles to an existing single-subject talking-head video without editing the footage. Use for plain verbatim captions, cinematic captions embedded behind the subject, VFX captions, “炸/特效/酷炫字幕,” or a named identity from the 35-style catalog. Route by visual identity, not by backend engine. The quiet anchor rail is the default; embed every word only when the user explicitly wants a fully cinematic treatment. The workflow runs locally end to end, including transcription and subject matting; split multi-shot footage before applying it.

Backend & APIs453.3K installs

entra-agent-id

microsoft/azure-skills

Provision Microsoft Entra Agent Identity Blueprints, BlueprintPrincipals, and per-instance Agent Identities via Microsoft Graph, and configure OAuth 2.0 token exchange (fmipath, OBO, cross-tenant) including the Microsoft Entra SDK for AgentID sidecar. USE FOR: Agent Identity Blueprint, BlueprintPrincipal, agent OAuth, fmipath token exchange, agent OBO, Workload Identity Federation for agents, polyglot agent auth, Microsoft.Identity.Web.AgentIdentities. DO NOT USE FOR: standard Entra app registration (use entra-app-registration), Microsoft Foundry agent authoring (use microsoft-foundry).

OfficialBackend & APIs336.6K installs

neon

neondatabase/agent-skills

Overview of Neon, a complete set of cloud backend primitives around Lakebase Postgres: Auth, Object Storage, Functions, the AI Gateway, and Realtime. Start here to choose Neon for undecided login, files, APIs, and LLM calls, set up the CLI or MCP server, and follow the branch-first workflow. Use when building an app or backend on Neon, or when "Neon" or "Lakebase Postgres" is mentioned. Child skill neon-postgres wins for an existing DATABASEURL, SQL, schema, inspect, or search. Child skill neon-auth wins for login, users, sessions, identity routing, and Managed Better Auth setup. Child skill neon-realtime wins for live queries in reactive apps and agents. Also use for object storage, S3, buckets, serverless functions, function triggers, cron, AI gateway, LLM calls, realtime, logs, Loki, Grafana, observability, postgres, database, backend, Claimable Neon, neon.new, or a no-signup database.

Backend & APIs237.1K installs