Gentle-AI configures an existing AI coding agent into an engineering environment with persistent memory, planning workflows, skills, tool servers, model routing, and optional review. Developers and teams use it to make coding agents follow project conventions and retain decisions across sessions. The catalogue entries are its skills, commands, agents, and instruction.
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-ai --skill skill-registrygit clone --depth 1 https://github.com/Gentleman-Programming/gentle-aiWrote 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-ai/skill-registry)<a href="https://agentmods.dev/skills/gentleman-programming/gentle-ai/skill-registry"><img src="https://agentmods.dev/badge/skills/gentleman-programming/gentle-ai/skill-registry.svg" alt="Measured on agentmods" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Rogue Agent · line 3 Skill modifies its own code, configuration, or behavior at runtime. Self-modification enables an agent to escalate privileges, disable safety constraints, or install persistent backdoors.Fix: Prevent the skill from modifying its own code, SKILL.md, or configuration files. Treat skill files as read-only at runtime.
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 | $0.00027 | $0.00524 |
| Opus 5 | $0.00014 | $0.00262 |
| Sonnet 5 | $0.00005 | $0.00105 |
| Haiku 4.5 | $0.00003 | $0.00052 |
Grade A, and why
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 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- gentle-ai-skill-registry — 94% identical, 2 lines differ
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.
- 8d ago First seen · 52 lines · 27 tokens per session scan A 06b49f63bd31
skill-registry is a skill published in the GitHub repository Gentleman-Programming/gentle-ai (6,328 stars, last pushed yesterday), licensed MIT. It adds 27 tokens to every session and 524 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 2026-08-30.
Other skills, from other repositories
ijfw-review
Use when the user asks for a review of any artifact -- code diff, PR, book chapter, campaign brief, landing-page copy, or design tokens. Trigger: review, code review, review this, PR review, review my X, review chapter, review brief, review page, /ijfw-review.
ijfw-cross-audit
Generate a cross-platform multi-model audit (Trident) on a diff, brief, or artifact. Trigger: 'cross audit', 'Trident', 'second opinion', 'check with other models', 'check with other AIs', 'cross-check this', 'get another perspective', /cross-audit.
requirements-authoring-flow
Workflow for authoring requirements and specifications: drafting, review, validation, etc.
ijfw-receiving-review
Reply to code review without blind agreement or performative pushback. Use when you have received feedback, need to address review, respond to review, handle review comments, or PR comments came back. Trigger: received feedback, address review, respond to review, review comments to handle, PR comments came back…
jira
Unified Jira entry point. Routes to preview (default), create, or review subcommands.
new-track
Start a new feature or bug track. Collaborative intake process with structured questions, AI guidance, and progressive refinement before generating spec.md and plan.md. Use when the user asks to 'start a new track', 'create a feature track', 'add a bug fix track', or says 'I want to build X', 'fix the Y bug', 'plan a…