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 comment-writergit 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/comment-writer)<a href="https://agentmods.dev/skills/gentleman-programming/gentle-ai/comment-writer"><img src="https://agentmods.dev/badge/skills/gentleman-programming/gentle-ai/comment-writer/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/gentleman-programming/gentle-ai/comment-writer"><img src="https://agentmods.dev/badge/skills/gentleman-programming/gentle-ai/comment-writer.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 | $0.00029 | $0.00529 |
| Opus 5.5 | $0.00012 | $0.00212 |
| Sonnet 5.5 | $0.00006 | $0.00106 |
| Haiku 4.5 | $0.00003 | $0.00053 |
Grade A, and why
comment-writer 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 1mo 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-comment-writer — 91% identical, 4 lines differ
How it starts
The opening of the file, as written. The whole thing — 75 lines — stays where its author put it; the contents beside it link to each section on GitHub.
When to Use
Load this skill whenever you write a comment that another human will read.
Use it for:
- GitHub PR or issue comments.
- Review feedback and requested changes.
- Maintainer replies.
- Slack, Discord, or async project updates.
Voice Rules
| Rule | Requirement |
|---|---|
| Be useful fast | Start with the actionable point. Do not recap the whole PR before feedback. |
| Be warm and direct | Sound like a thoughtful teammate, not a corporate bot. |
| Keep it short | Prefer 1 to 3 short paragraphs or a tight bullet list. |
| Explain why | Give the technical reason when asking for a change. |
| Avoid pile-ons | Comment on the highest-value issue, not every tiny preference. |
| Match target context language | Write in the target context language by default: Spanish issue/thread -> Spanish comment, English issue/thread -> English comment, mixed context -> target message language. If the user explicitly requests a language or tone, follow that request. For Spanish comments, use neutral/professional Spanish by default unless the user or target context clearly calls for regional tone. |
| No em dashes | Use commas, periods, or parentheses instead. |
Comment Formula
<Direct observation or request>
<Why it matters, only if needed>
<Concrete next action>
Examples
Request change
Good approach overall. I'd split this into a separate commit because it mixes validation logic with UI wiring.
That keeps the reviewer's focus narrower and makes rollback cleaner if the integration fails.
Approve with a note
Approved. The scope is clear and the change is well-contained.
For the next PR, add links to the previous and following PRs so the chain stays navigable.
Ask for split
This PR exceeds the 400-line budget, so we need to split it or justify `size:exception`.
Suggested order: foundation + tests first, then integration, then docs. That gives each review a clear start and end.
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.
- 1mo ago First seen · 75 lines · 29 tokens per session scan A cb980612f723
comment-writer is a skill published in the GitHub repository Gentleman-Programming/gentle-ai (7,940 stars, last pushed today), licensed MIT. It adds 29 tokens to every session and 529 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.
Other skills, from other repositories
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…
jira
Unified Jira entry point. Routes to preview (default), create, or review subcommands.
coverage
Compute code coverage for active track or module. Targets 95%+ coverage with report and justification for uncovered lines. Complements TDD workflow.
adr
Create and manage Architecture Decision Records. Documents significant technical decisions with context, alternatives, and consequences. Also supports evaluate (assess proposals) and design (system design) modes.
deploy-checklist
Pre-deployment verification checklist. Generates customized checklists based on tech-stack with rollback triggers. Auto-invoked by /draft:upload.
change
Handle mid-track requirement changes. Analyzes impact on completed and pending tasks, proposes amendments to spec.md and plan.md before applying.