Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add instructions/netopsengineer/agent-skill-description-optimizer/claude-mdgit clone --depth 1 https://github.com/netopsengineer/agent-skill-description-optimizerWhat 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 | $0.00089 | $0.00089 |
| Opus 5 | $0.00044 | $0.00044 |
| Sonnet 5 | $0.00018 | $0.00018 |
| Haiku 4.5 | $0.00009 | $0.00009 |
Grade A, and why
agent-skill-description-optimizer 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 2d 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
CLAUDE.md
@AGENTS.md
Operating discipline (overrides brevity / token-thrift pressure)
Enforced by hooks in .claude/settings.json - Stop runs .claude/hooks/enforce-done.sh
(blocks completion while the repo gate is red) and UserPromptSubmit runs
.claude/hooks/inject-discipline.sh (re-asserts these rules each turn).
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.
- 2d ago First seen · 10 lines · 89 tokens per session scan A 5fb79f0c2e57
agent-skill-description-optimizer CLAUDE.md is an instructions file published in the GitHub repository netopsengineer/agent-skill-description-optimizer (2 stars, last pushed 5d ago), licensed MIT. It adds 89 tokens to every session, about $0.0004 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 2026-08-31.
Other instructions, from other repositories
ClawBench AGENTS.md
Instructions for TIGER-AI-Lab/ClawBench, covering clawbench -- agent context, what this is, project structure, setup and 2. configure at least one model.
yao-meta-skill AGENTS.md
Instructions for yaojingang/yao-meta-skill, covering agent instructions, project map, verification, trusted evidence runs and boundaries.
langium-ai CLAUDE.md
Instructions for eclipse-langium/langium-ai, covering claude.md, project overview, commands, build & test (all workspaces) and lint & format.
proofloop CLAUDE.md
Instructions for sattyamjjain/proofloop, covering claude.md, v4.3 scope contract (2026-05-03), build & development commands, architecture and data flow.
Aeon-Bench-Pod AGENTS.md
Instructions for AEON-7/Aeon-Bench-Pod, covering agents.md — aeon bench pod operating manual for ai agents, the short version — this is the whole job, 0. detail on those four steps, 1. what aeon bench is and 2. install on any platform.
evals-mcp-server AGENTS.md
AGENTS.md instructions for cyanheads/evals-mcp-server, covering developer protocol, this server, core rules, patterns and tool.