CITADEL
CLAUDE.md4 starsChanged 4 months agoMITView on GitHub
An agent orchestration system for Claude Code. This repo IS the harness. The harness is a collection of skills, agents, hooks, and state files that enable Claude Code to operate autonomously on any codebase. It provides: - Intent routing (/do) that dispatches tasks to the right tool - Campaign persistence across sessions - Parallel agent coordination with discovery sharing - Automated quality enforcement through lifecycle hooks Always run tests after modifying hooks or skills. Five levels: Adding a new skill:…
In this repository50 other files it gives its agents.
- AGENTS.mdAGENTS.md
- architectSkill
- archonSkill
- ascii-diagramSkill
- autopilotSkill
- costSkill
- create-appSkill
- create-skillSkill
- daemonSkill
- dashboardSkill
- decision-mapSkill
- deploy-stewardSkill
- designSkill
- doc-genSkill
- doSkill
- evolveSkill
- experimentSkill
- fleetSkill
- grillSkill
- housecleanSkill
- improveSkill
- infra-auditSkill
- learnSkill
- live-previewSkill
- loopSkill
- mapSkill
- marshalSkill
- merge-reviewSkill
- organizeSkill
- postmortemSkill
- prdSkill
- pr-watchSkill
- qaSkill
- refactorSkill
- research-fleetSkill
- researchSkill
- reviewSkill
- scaffoldSkill
- scheduleSkill
- session-handoffSkill
- setupSkill
- systematic-debuggingSkill
- telemetrySkill
- test-genSkill
- triageSkill
- unharnessSkill
- verifySkill
- watchSkill
- wikiSkill
- workspaceSkill
The file
We split this CLAUDE.md into the rules it gives an agent
6 rules. About 0 are common, 3 are distinctive, and 3 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈3
Distinctive · estimate
This author's own choices. Worth a look.
3
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 30
Always run tests after modifying hooks or skills.
- Very specific: line 43
Adding a new skill: create skills/{name}/SKILL.md, then run node scripts/skill-lint.js {name} to verify structure.
- Very specific: line 45
Adding a benchmark scenario: create skills/{name}/__benchmarks__/{scenario}.md, then run node scripts/skill-bench.js --skill {name} to …
- Distinctive: line 51
Keep individual phases under 35 minutes of execution time.
- Distinctive: line 52
Every phase must have a verifiable exit condition -- binary pass/fail signals (typecheck, tests, build) are force multipliers on agent …
- Very specific: line 58
After completing any task, output a HANDOFF block:
≈ “Common” is an estimate: at least 1 in 5 of the 26,980 CLAUDE.md files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Claude Harness
An agent orchestration system for Claude Code. This repo IS the harness.
What This Is
The harness is a collection of skills, agents, hooks, and state files that enable Claude Code to operate autonomously on any codebase. It provides:
- Intent routing (
/do) that dispatches tasks to the right tool - Campaign persistence across sessions
- Parallel agent coordination with discovery sharing
- Automated quality enforcement through lifecycle hooks
Key Conventions
- Skills live in
skills/. Each skill is a directoryskills/{name}/SKILL.md. - Agents live in
agents/. They spawn as sub-processes with their own context. - Hooks live in
hooks_src/. Installed per-project viascripts/install-hooks.js. - The
init-projecthook auto-scaffolds per-project state on session start:.planning/— campaign state, fleet sessions, intake, telemetry.citadel/scripts/— utility scripts (telemetry, coordination, compression).claude/agent-context/— rules injected into sub-agents
- Campaign state lives in
.planning/campaigns/(per-project). - Fleet session state lives in
.planning/fleet/(per-project). - Templates live in
.planning/_templates/(copied from plugin on init). - Configuration lives in
.claude/harness.json(generated by/do setup, per-project).
Testing
Always run tests after modifying hooks or skills. Five levels:
| Command | What it checks | When to run |
node scripts/test-all.js | Hooks + skill structure (fast, no LLM) | After any change |
node hooks_src/smoke-test.js | Hooks only | After hook changes |
node scripts/verify-hooks.js | Hook install + runtime (synthetic payloads, no LLM) | After hook changes |
node scripts/integration-test.js | Full Pre→tool→Post pipeline sequences (no LLM) | After hook changes |
node scripts/skill-lint.js | All SKILL.md structure | After skill changes |
node scripts/skill-bench.js | Scenario file validity | After adding benchmarks |
node scripts/skill-bench.js --execute | Live scenario execution | Before shipping |
node scripts/skill-bench.js --execute --verify-hooks | Live execution + confirms hooks fired | Before shipping |
Adding a new skill: create skills/{name}/SKILL.md, then run node scripts/skill-lint.js {name} to verify structure.
Adding a benchmark scenario: create skills/{name}/__benchmarks__/{scenario}.md, then run node scripts/skill-bench.js --skill {name} to validate.
CI: node scripts/test-all.js exits non-zero on any failure. Use --strict to treat WARNs as failures.
Campaign Design Principles
- Keep individual phases under 35 minutes of execution time. Failure rate increases 4x beyond this boundary (Morph, 2026).
- Every phase must have a verifiable exit condition -- binary pass/fail signals (typecheck, tests, build) are force multipliers on agent autonomy.
- Skill SKILL.md files: terse and accurate only. Stale or vague guidance actively degrades agent accuracy. Update based on observed failures, not by accumulation.
- Sub-agents have isolated context windows -- pass only distilled findings back to the orchestrator, never raw tool output.
Handoff Summary (Required)
After completing any task, output a HANDOFF block:
---HANDOFF---
- What was built or changed
- Key decisions and tradeoffs
- Unresolved items or next steps
---3-5 bullets, under 150 words.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

