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 skills/hanyuancheung/llm-skill/executenpx skills add hanyuancheung/llm-skill --skill executegit clone --depth 1 https://github.com/hanyuancheung/llm-skillWrote 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/hanyuancheung/llm-skill/execute)<a href="https://agentmods.dev/skills/hanyuancheung/llm-skill/execute"><img src="https://agentmods.dev/badge/skills/hanyuancheung/llm-skill/execute.svg" alt="Measured on agentmods" 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 | $0.00001 | $0.01104 |
| Opus 5 | $0.00000 | $0.00552 |
| Sonnet 5 | $0.00000 | $0.00221 |
| Haiku 4.5 | $0.00000 | $0.00110 |
Grade A, and why
execute 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 5d 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 — 102 lines — stays where its author put it; the contents beside it link to each section on GitHub.
execute — Execution Meta-Skill
What
Select the right domain skill from the AGENT.md routing table, complete the task, and passively collect distillable signals as raw material for the next distill pass.
When to use
- ✅ User gives a concrete task (write code, fix a bug, research, answer a question).
- ✅ An existing skill's
triggersmatch the intent.
When NOT to use
- ❌ The discussion is about the skill system itself (hand off to
distillorguide). - ❌ Pure small talk with no executable action.
How (SOP)
-
Read the Schema, not the whole library. Open section 2 of
AGENT.md. Do NOTls skills/or batch-read allSKILL.mdfiles. -
Pick ≤ 3 candidates. Match
keywords,file_globs,intentsagainst the user input. Preferstatus: activeoverexperimentalon ties. -
Lazy load.
read_fileonly the chosenSKILL.md. If it links toreferences/*.md, load on demand. -
Run
prehooks (seeAGENT.md§10). For each hook in declared order, evaluatewhen; applyaction:skip→ drop this skill silently, try next candidate.warn→ surface to user, continue.proceed→ continue.run-script:<path>→ execute; non-zero exit = violation, treat as hook failure.
-
Execute the task. Follow the chosen skill's
Howsection strictly. If a skill conflicts with user intent, user wins, and log the conflict into distill-candidates. -
Collect distillable signals (key). Maintain a
distill-candidateslist during execution. Log entries for:- New pitfall: an error/ambiguity the skill did not warn about.
- Better practice: a superior approach beyond what is recorded.
- Gap: no skill matched; you solved it with ad-hoc reasoning that felt reusable.
- Conflict: skill-vs-skill or skill-vs-reality.
- Correction: a step in the skill turned out to be inaccurate.
-
Run
posthooks before finishing (seeAGENT.md§10.4–§10.5).- Always evaluate the default
should-distill: ifdistill-candidatesis non-empty, propose invokingdistill. - Then run declared
posthooks in order. Enforcerequire-validatorstrictly: a failingscripts/validate.pyblocks the task report.
- Always evaluate the default
What ships with it
1 file 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.
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.
- 5d ago First seen · 102 lines · 1 tokens per session scan A 0bd890bd5b47
execute is a skill published in the GitHub repository hanyuancheung/llm-skill (22 stars, last pushed 4mo ago), licensed MIT. It adds 1 tokens to every session and 1,104 once invoked, about $0.0000 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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