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MCP verified MIT Self-run

Harness Map

mcp-dreamiurg-harness-map · by dreamiurg

Agent skill that generates an interactive dependency map of your AI harness (skills, agents, commands, MCP servers)

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Install

$ agentstack add mcp-dreamiurg-harness-map

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • ✓ Prompt-injection patterns
  • ✓ Secret / credential exfiltration
  • ✓ Dangerous shell & filesystem operations
  • ✓ Untrusted network calls
  • ✓ Known-malicious package signatures

What it can access

  • ✓ Network access No
  • ✓ Filesystem access No
  • ✓ Shell / process execution No
  • ✓ Environment & secrets No
  • ✓ Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Passed review? Show it. Paste this badge into your README, it links to the public security report.

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Reliability & compatibility

✓ Security review passed
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Declared compatibility

Claude CodeClaude DesktopCursorWindsurf

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.

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About

harness-map

[](https://github.com/dreamiurg/harness-map/actions/workflows/ci.yml) [](https://codecov.io/gh/dreamiurg/harness-map) [](package.json) [](LICENSE) [](https://skills.sh/dreamiurg/harness-map)

An Agent Skill that generates a self-contained, interactive HTML dependency map of a repository's AI harness: skills, commands, agents, and MCP servers — which skills hand off to which, which agents they delegate to, which MCP servers everything uses.

(Generated from the public obra/superpowers repo — 14 skills, 22 evidence-backed edges, auto-clustered. Interactive version: [examples/superpowers.html](examples/superpowers.html).)

Deterministic scripts scan the repo and build the HTML; the invoking agent does the one thing scripts can't — reading each skill/agent body and inferring typed, evidence-backed dependency edges.

Install

npx skills add dreamiurg/harness-map

This installs the skill to .agents/skills/harness-map/ in your project — the shared location read by Claude Code, Codex, Cursor, and other Agent-Skills-compatible tools.

Or as a Claude Code plugin:

/plugin marketplace add dreamiurg/harness-map /plugin install harness-map@harness-map-marketplace

Use

Ask your agent: "map my AI harness" or invoke /harness-map. Output: harness-map.html (single file, fully offline, open in any browser).

Quickstart for agents

If you are a coding agent (Claude Code, Codex, Cursor, ...) whose human asked you to set this up, do this — verified to work on a clean machine with only Node ≥ 20 and git:

  1. From the root of the repository you want to map:

npx -y skills add dreamiurg/harness-map -y

The CLI detects agent environments and runs non-interactively. The skill lands in .agents/skills/harness-map/.

  1. Generate the map now — do not wait for a new session to pick the skill up. Read

.agents/skills/harness-map/SKILL.md and execute its four phases directly: scan (run the script) → infer edges (your judgment; every edge needs a quotable line of evidence) → validate (run the script, fix graph.json until it prints OK) → build (run the script).

  1. Report to your human: the path to harness-map.html, node/edge counts, and 2–3

notable findings (orphan skills, the most-depended-on agent, unused MCP servers). Delete harness-map-work/ or gitignore it — only the HTML is the deliverable.

License

MIT

Source & license

This open-source MCP server is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.

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