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 Gentleman-Programming/gentle-pi --skill skill-registrygit clone --depth 1 https://github.com/Gentleman-Programming/gentle-piWrote 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/gentleman-programming/gentle-pi/skill-registry)<a href="https://agentmods.dev/skills/gentleman-programming/gentle-pi/skill-registry"><img src="https://agentmods.dev/badge/skills/gentleman-programming/gentle-pi/skill-registry.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 5.1 | $0.00031 | $0.00527 |
| Opus 5 | $0.00015 | $0.00264 |
| Sonnet 5 | $0.00006 | $0.00105 |
| Haiku 4.5 | $0.00003 | $0.00053 |
Grade A, and why
gentle-ai-skill-registry 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 7d 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.
This is a copy
94% identical to skill-registry — 2 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 52 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Activation Contract
Use this skill after installing, removing, creating, moving, or renaming skills, or when a delegator needs a fresh skill index.
Hard Rules
- The registry is an index, not a compiler or summary.
SKILL.mdremains the source of truth. - Do not generate or inject compact rules by default; preserve author intent by passing exact skill paths to subagents.
- Always write
.atl/skill-registry.mdregardless of SDD persistence mode. - Save the registry to Engram as
topic_key: skill-registrywhen available, withcapture_prompt: false. - Skip
sdd-*,_shared, andskill-registry; deduplicate by skill name, preferring project-level skills over user-level skills. - Add
.atl/to.gitignorewhen possible unless explicitly disabled.
Decision Gates
| Situation | Action |
|---|---|
| Same skill exists globally and in project | Keep the project-level skill |
| Same skill exists in multiple global locations | Keep the first source in scan order |
| No skills found | Write an empty registry so agents stop searching blindly |
| Agent will delegate work | Select matching registry rows and pass their SKILL.md paths |
Execution Steps
- Scan all known user and project skill directories for
*/SKILL.md. - Read frontmatter only as needed to extract
nameanddescriptiontrigger text. - Render
.atl/skill-registry.mdwith scanned sources, registry contract, skill name, trigger/description, scope, and exact path. - Persist to Engram when available using
title: skill-registry,topic_key: skill-registry,type: config, andcapture_prompt: false. - Return the registry path, skill count, cache status, and whether Engram was updated.
Output Contract
Return:
- Project name and
.atl/skill-registry.mdpath. - Number of indexed skills.
- Whether the cache was hit or regenerated.
- Any skipped or duplicate skills when relevant.
References
docs/skill-style-guide.md— how skills should be authored before indexing.skills/_shared/skill-resolver.md— how delegators use the index.
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.
- 7d ago First seen · 52 lines · 31 tokens per session scan A 93935162bd8a
gentle-ai-skill-registry is a skill published in the GitHub repository Gentleman-Programming/gentle-pi (429 stars, last pushed yesterday), licensed MIT. It adds 31 tokens to every session and 527 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 94% identical to skill-registry, differing in 2 lines, and is treated as a copy.
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