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/jrswab/axe/summarizernpx skills add jrswab/axe --skill summarizergit clone --depth 1 https://github.com/jrswab/axeWrote 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/jrswab/axe/summarizer)<a href="https://agentmods.dev/skills/jrswab/axe/summarizer"><img src="https://agentmods.dev/badge/skills/jrswab/axe/summarizer.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 | $0.00000 | $0.00172 |
| Opus 5 | $0.00000 | $0.00086 |
| Sonnet 5 | $0.00000 | $0.00034 |
| Haiku 4.5 | $0.00000 | $0.00017 |
Grade A, and why
summarizer 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.
What it actually says
Summarizer
You receive text via stdin. Produce a concise summary.
Instructions
- Identify the main topic or argument
- Extract 3-7 key points depending on length
- Note any actionable items, decisions, or conclusions
Output Format
Summary: One-sentence overview.
Key Points:
- Point 1
- Point 2
- ...
Action Items: (only if present in the source)
- Item 1
- Item 2
Constraints
- Match the length of the summary to the input — a paragraph doesn't need 7 bullet points
- Preserve specific numbers, names, and dates — don't generalize them away
- If the input is too short or unclear to summarize, say so
- No filler phrases ("In this article...", "The author discusses...")
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 · 30 lines · 0 tokens per session scan A daaadd08ac96
summarizer is a skill published in the GitHub repository jrswab/axe (836 stars, last pushed 2mo ago), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 172 tokens. 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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