Borrowing it
Nothing to install: this file belongs to nabeelhyatt/coworkpowers. 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/nabeelhyatt/coworkpowers/main/CLAUDE.mdgit clone --depth 1 https://github.com/nabeelhyatt/coworkpowersWrote 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/instructions/nabeelhyatt/coworkpowers/claude-md)<a href="https://agentmods.dev/instructions/nabeelhyatt/coworkpowers/claude-md"><img src="https://agentmods.dev/badge/instructions/nabeelhyatt/coworkpowers/claude-md/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/instructions/nabeelhyatt/coworkpowers/claude-md"><img src="https://agentmods.dev/badge/instructions/nabeelhyatt/coworkpowers/claude-md.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 | $0.00290 | $0.00290 |
| Opus 5.5 | $0.00116 | $0.00116 |
| Sonnet 5.5 | $0.00058 | $0.00058 |
| Haiku 4.5 | $0.00029 | $0.00029 |
Grade A, and why
coworkpowers CLAUDE.md 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 2mo 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.
What it actually says
CoworkPowers: Knowledge Work Superpowers
A system that makes knowledge work compound over time. Four skills orchestrate 24 specialized agents across research, execution, review, and learning capture phases.
Skills
/coworkpowers:workflow-research— Research and plan before execution. Asks clarifying questions, searches past learnings, gathers context, runs parallel research agents, synthesizes into an actionable plan./coworkpowers:workflow-work— Execute a plan with specialized agents (executive-writer, analyst, decision-architect, coach, meeting-orchestrator, task-executor)./coworkpowers:workflow-review— Multi-agent quality review: clarity, tone, completeness, sensitivity, risks, alignment, actionability./coworkpowers:workflow-compound— Extract patterns, templates, preferences, and failure lessons to make next time easier.
Match Rigor to Stakes
- Low stakes (internal notes): Skip research, go straight to work
- Medium stakes (team comms): Light research + review
- High stakes (board, strategy, sensitive): Full research + multi-agent review + compound
Insight Storage
Past learnings are stored in .context/learnings/ and automatically searched during research. Each insight is a self-contained markdown file with YAML frontmatter.
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.
- 2mo ago First seen · 21 lines · 290 tokens per session scan A ef1fe437ee60
coworkpowers CLAUDE.md is an instructions file published in the GitHub repository nabeelhyatt/coworkpowers (115 stars, last pushed 8mo ago), licensed MIT. It adds 290 tokens to every session, about $0.0012 per session on Opus 5.5. 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.
coworkpowers CLAUDE.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| coworkpowers CLAUDE.mdnabeelhyatt/coworkpowers | Instructions file | 115 | 8mo ago | MIT | A | 290 | Claude Code |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | today | MIT | A | 7,461 | Codex, OpenCode |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | yesterday | MIT | A | 4,680 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 5,516 | GitHub Copilot |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 3,093 | GitHub Copilot |
| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 274k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |