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 saffron-health/libretto --skill summarizegit clone --depth 1 https://github.com/saffron-health/librettoWrote 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/saffron-health/libretto/summarize)<a href="https://agentmods.dev/skills/saffron-health/libretto/summarize"><img src="https://agentmods.dev/badge/skills/saffron-health/libretto/summarize/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/saffron-health/libretto/summarize"><img src="https://agentmods.dev/badge/skills/saffron-health/libretto/summarize.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00030 | $0.00197 |
| Opus 5.5 | $0.00012 | $0.00079 |
| Sonnet 5.5 | $0.00006 | $0.00039 |
| Haiku 4.5 | $0.00003 | $0.00020 |
Grade A, and why
summarize 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- summarize — 100% identical, 0 lines differ
What it actually says
Summarize the given spec or current changes into a format suitable for sharing on Slack.
Read the spec file or use git diff to understand the current changes if no spec is provided.
Output the summary in this exact format:
**Problem:** Right now, we ...
- <bullet point explaining issue>
- <bullet point explaining issue>
- ...
**Solution:** <one sentence explaining the solution>
- <bullet point explaining change>
- <bullet point explaining change>
- ...
Guidelines:
- Write concisely using active voice
- Focus on what matters to teammates who have no context
- Do not reference "this spec" or "this PR" - explain the problem and solution directly
- Keep bullet points short and scannable
- Use technical terms appropriately but avoid jargon
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 · 31 lines · 30 tokens per session scan A ebde508a7b2a
summarize is a skill published in the GitHub repository saffron-health/libretto (906 stars, last pushed 2mo ago), licensed MIT. It adds 30 tokens to every session and 197 once invoked, about $0.0001 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.
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