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 skills add JordanGunn/nunchuck --skill prompt-execgit clone --depth 1 https://github.com/JordanGunn/nunchuckWrote 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/jordangunn/nunchuck/prompt-exec)<a href="https://agentmods.dev/skills/jordangunn/nunchuck/prompt-exec"><img src="https://agentmods.dev/badge/skills/jordangunn/nunchuck/prompt-exec/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/jordangunn/nunchuck/prompt-exec"><img src="https://agentmods.dev/badge/skills/jordangunn/nunchuck/prompt-exec.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 | $0.00026 | $0.00263 |
| Opus 5 | $0.00013 | $0.00131 |
| Sonnet 5 | $0.00005 | $0.00053 |
| Haiku 4.5 | $0.00003 | $0.00026 |
Grade A, and why
prompt-exec 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 8d 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
INSTRUCTIONS
- Refer to
metadata.referencesfor the complete skill definition. - Use individual scripts:
exec.sh,validate.sh,help.sh
What ships with it
18 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.
- assets/observability-template.md 1.8 KB
- assets/prompt-artifact-schema.json 2.3 KB
- assets/prompt-artifact-schema.md 1.3 KB
- assets/receipt-schema.json 1.1 KB
- references/00_ROUTER.md 476 B
- references/01_SUMMARY.md 694 B
- references/02_CONTRACTS.md 1002 B
- references/03_TRIGGERS.md 349 B
- references/04_NEVER.md 378 B
- references/05_ALWAYS.md 376 B
- references/06_PROCEDURE.md 1.2 KB
- references/07_FAILURES.md 522 B
- scripts/exec.ps1 362 B runs code
- scripts/exec.sh 320 B runs code
- scripts/help.sh 473 B runs code
- scripts/include/prompt_exec_cli.py 2.9 KB runs code
- scripts/include/prompt_parse.py 6.7 KB runs code
- scripts/validate.sh 658 B runs code
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.
- 8d ago First seen · 43 lines · 26 tokens per session scan A e9186d792496
prompt-exec is a skill published in the GitHub repository JordanGunn/nunchuck (9 stars, last pushed 7mo ago), licensed MIT. It adds 26 tokens to every session and 263 once invoked, about $0.0001 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.
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