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 rse/ase --skill ase-meta-eli5git clone --depth 1 https://github.com/rse/aseWrote 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/rse/ase/ase-meta-eli5)<a href="https://agentmods.dev/skills/rse/ase/ase-meta-eli5"><img src="https://agentmods.dev/badge/skills/rse/ase/ase-meta-eli5/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/rse/ase/ase-meta-eli5"><img src="https://agentmods.dev/badge/skills/rse/ase/ase-meta-eli5.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 | $0.00063 | $0.00924 |
| Opus 5 | $0.00032 | $0.00462 |
| Sonnet 5 | $0.00013 | $0.00185 |
| Haiku 4.5 | $0.00006 | $0.00092 |
Grade A, and why
ase-meta-eli5 scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
@${CLAUDE_SKILL_DIR}/../../meta/ase-control.md @${CLAUDE_SKILL_DIR}/../../meta/ase-skill.md @${CLAUDE_SKILL_DIR}/../../meta/ase-getopt.md
$ARGUMENTS
-
Set (set to empty).
-
Use the
ase-meta-searchskill in a sub-agent to gather facts about the : call the tool...Agent( description: "Query Web Search Service", subagent_type: "ase:ase-meta-search", prompt: "Search the Internet/Web and gather facts about the following topic: <topic/>", run_in_background: false )...and store the returned facts in .
Set (set facts to empty), so the explanation below falls back to model knowledge, and output the following :
-
Explain the in "Explain Like I'm 5" (ELI5) style: use simple, jargon-free wording a five-year-old child could understand -- short sentences, everyday words, and familiar images. Do not use technical terms without immediately putting them into child-friendly words.
For this, first, explain WHAT the topic is and store it in . Second, give an ANALOGY by comparing the topic to something from the everyday life of a child and store this in . Third, explain WHY the topic matters and store this in .
Ensure that each of , , and is a very brief and concise single text paragraph.
Output the result with the following :
WHAT: .
ANALOGY: .
WHY: .
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.
- 9d ago First seen · 117 lines · 63 tokens per session scan A 34b70369401b
ase-meta-eli5 is a skill published in the GitHub repository rse/ase (47 stars, last pushed today), licensed Apache-2.0. It adds 63 tokens to every session and 924 once invoked, about $0.0003 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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