Borrowing it
Nothing to install: this file belongs to andrew-yangy/gru-ai. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/andrew-yangy/gru-ai/main/.claude/skills/directive/SKILL.mdgit clone --depth 1 https://github.com/andrew-yangy/gru-aiWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/andrew-yangy/gru-ai/directive)<a href="https://agentmods.dev/skills/andrew-yangy/gru-ai/directive"><img src="https://agentmods.dev/badge/skills/andrew-yangy/gru-ai/directive/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/andrew-yangy/gru-ai/directive"><img src="https://agentmods.dev/badge/skills/andrew-yangy/gru-ai/directive.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00170 | $0.02705 |
| Opus 5 | $0.00085 | $0.01352 |
| Sonnet 5 | $0.00034 | $0.00541 |
| Haiku 4.5 | $0.00017 | $0.00270 |
Grade A, and why
directive scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 10d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 135 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Execute Directive
Execute the CEO directive: $ARGUMENTS
Role Resolution — Read First
Before executing, read .claude/agent-registry.json to map roles to agent names. The pipeline uses role-based language throughout. Resolve roles to concrete agent names using the registry:
- COO = the agent with
"title": "COO"(plans projects, orchestrates execution) - CTO = the agent with
"title": "CTO"(architecture, audits, reviews, technical decomposition) - CPO = the agent with
"title": "CPO"(product strategy, UX review, user perspective) - CMO = the agent with
"title": "CMO"(growth, SEO, content strategy) - Frontend Developer = the agent with
"title": "FE"(React, Tailwind, components) - Backend Developer = the agent with
"title": "BE"(server, API, infrastructure) - Full-Stack Engineer = the agent with
"title": "FS"(cross-domain work) - Data Engineer = the agent with
"title": "DE"(pipelines, parsers, indexing) - Content Builder = the agent with
"title": "CB"(MDX, documentation, copywriting) - QA Engineer = the agent with
"title": "QA"(testing, investigation, validation) - UI/UX Designer = the agent with
"title": "UX"(design review, wireframes, visual quality)
Use each agent's id field as the subagent_type value when spawning. Use the agentFile field to locate personality files. The registry is the single source of truth for who fills each role.
MANDATORY: Start with Triage — DO NOT SKIP
YOU MUST read and execute 00-delegation-and-triage.md BEFORE doing anything else.
DO NOT read source code. DO NOT edit files. DO NOT start solving the problem. The pipeline exists to ensure quality — every shortcut you take skips a review, a gate, or a verification step.
Your FIRST action must be: Read the triage doc, classify the directive weight, output the triage block, and create directive.json. Only then proceed to the next pipeline step.
What ships with it
31 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- docs/pipeline/00-delegation-and-triage.md 11 KB
- docs/pipeline/01-checkpoint.md 2.1 KB
- docs/pipeline/02-read-directive.md 3.7 KB
- docs/pipeline/03-read-context.md 1.1 KB
- docs/pipeline/04-brainstorm.md 4.0 KB
- docs/pipeline/04b-clarification.md 8.0 KB
- docs/pipeline/05-planning.md 5.7 KB
- docs/pipeline/06-technical-audit.md 5.5 KB
- docs/pipeline/07-plan-approval.md 7.9 KB
- docs/pipeline/07b-project-brainstorm.md 8.0 KB
- docs/pipeline/08-worktree-and-state.md 2.5 KB
- docs/pipeline/09-execute-projects.md 22 KB
- docs/pipeline/10-wrapup.md 17 KB
- docs/pipeline/11-completion-gate.md 9.6 KB
- docs/reference/rules/casting-rules.md 6.0 KB
- docs/reference/rules/failure-handling.md 3.0 KB
- docs/reference/rules/phase-definitions.md 4.4 KB
- docs/reference/rules/scope-and-dod.md 8.0 KB
- docs/reference/schemas/audit-output.md 3.2 KB
- docs/reference/schemas/brainstorm-output.md 2.0 KB
- docs/reference/schemas/checkpoint.md 915 B
- docs/reference/schemas/current-json.md 250 B
- docs/reference/schemas/directive-json.md 10 KB
- docs/reference/schemas/investigation-output.md 1.9 KB
- docs/reference/schemas/plan-schema.md 4.7 KB
- docs/reference/templates/architect-prompt.md 4.7 KB
- docs/reference/templates/auditor-prompt.md 3.1 KB
- docs/reference/templates/brainstorm-prompt.md 4.3 KB
- docs/reference/templates/digest.md 4.7 KB
- docs/reference/templates/investigator-prompt.md 2.3 KB
- docs/reference/templates/planner-prompt.md 11 KB
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 10d ago First seen · 135 lines · 170 tokens per session scan A c664e6329d10
directive is a skill published in the GitHub repository andrew-yangy/gru-ai (153 stars, last pushed 6mo ago), licensed MIT. It adds 170 tokens to every session and 2,705 once invoked, about $0.0009 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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building
Implementation skill for writing production code with TDD. Covers the RED-GREEN-REFACTOR cycle, false-RED detection, vertical slicing, scope escalation, test process discipline, and code generation patterns. Loaded by component-builder and bug-investigator.
diff-driven-docs
Use when a BUILD phase completes, a commit is staged, or a PR is about to be created, and the diff has not yet been reflected in documentation. Also use when the user says "update docs", "sync docs", "document this", or asks whether documentation is up to date.
exploration
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memory-and-handoff
Two-mode skill: (1) session memory — load/persist durable workflow state under .cc10x/ (activeContext, patterns, progress) so context survives compaction; (2) handoff package — portable, secrets-redacted export for a coworker, different tool, or fresh non-cc10x session.
plan-review-gate
Use after saving a non-trivial plan or decision RFC when a fail-closed feasibility, completeness, and alignment review must block execution.
architecture
Greenfield architecture design: map functionality flows, draw components, design APIs, classify dependencies, plan observability. For multi-component, API, schema, auth, or integration-heavy work. For retrofitting existing code, use codebase-hygiene instead.