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 work-unit-commitsgit 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/work-unit-commits)<a href="https://agentmods.dev/skills/gentleman-programming/gentle-ai/work-unit-commits"><img src="https://agentmods.dev/badge/skills/gentleman-programming/gentle-ai/work-unit-commits/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/work-unit-commits"><img src="https://agentmods.dev/badge/skills/gentleman-programming/gentle-ai/work-unit-commits.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 | $0.00033 | $0.00867 |
| Opus 5.5 | $0.00013 | $0.00347 |
| Sonnet 5.5 | $0.00007 | $0.00173 |
| Haiku 4.5 | $0.00003 | $0.00087 |
Grade A, and why
work-unit-commits 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.
How it starts
The opening of the file, as written. The whole thing — 84 lines — stays where its author put it; the contents beside it link to each section on GitHub.
When to Use
Load this skill when deciding what belongs in each commit or PR.
Use it for:
- Splitting a feature into reviewable work.
- Preparing commits before opening a PR.
- Turning a large change into chained or stacked PRs.
- Keeping reviewer cognitive load healthy.
- Committing ODD work units in reviewable slices.
Critical Rules
| Rule | Requirement |
|---|---|
| Commit by work unit | A commit represents a deliverable behavior, fix, migration, or docs unit. |
| Do not commit by file type | Avoid models, then services, then tests if none works alone. |
| Keep tests with code | Tests belong in the same commit as the behavior they verify. |
| Keep docs with the user-visible change | Docs belong with the feature or workflow they explain. |
| Tell a story | A reviewer should understand why each commit exists from its diff and message. |
| Future PR-ready | Each commit should be a candidate chained PR when the change grows. |
| Budget is not code-golf | Never shrink a diff by deleting comments, blank lines, docs, or tests, or by compressing code, to fit the review budget (400 by default, or the session review_budget_lines). Slice by work unit or report the overage. |
Work Unit Checklist
Before committing, confirm:
- The commit has one clear purpose.
- The repo still makes sense after applying only this commit.
- Tests or docs for this unit are included when relevant.
- Rollback is reasonable without reverting unrelated work.
- Focused test command and exact result are recorded.
- Runtime harness command/scenario and exact result are recorded, or explicit
N/Aexplains why no runtime boundary exists. - Rollback boundary names the exact files/behavior removable without unrelated work.
- The commit message explains the outcome, not the file list.
Split Examples
| Weak split | Better work-unit split |
|---|---|
add models |
feat(auth): add token validation domain model and tests |
add services |
feat(auth): wire token validation into login flow |
add tests |
Tests included with each behavior commit |
update docs |
Docs included with the user-facing change they explain |
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 Changed d1f25b154dc0
- 27d ago Changed · -26 lines 7704f3ae8cb3
- 1mo ago Changed · +10 lines 5c2d94572eec
- 1mo ago Changed · +2 lines f4aef73aaece
- 1mo ago First seen · 98 lines · 33 tokens per session scan A 9b4e9914d612
work-unit-commits is a skill published in the GitHub repository Gentleman-Programming/gentle-ai (7,940 stars, last pushed today), licensed MIT. It adds 33 tokens to every session and 867 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
memorix-git-memory
Use when the task depends on commit history, what changed, when a fix shipped, or linking engineering evidence to reasoning memory.
revert
Git-aware revert that understands Draft tracks, phases, and tasks. Safely undo work at task, phase, or track level. Use when the user asks to 'revert this track', 'undo a phase', 'revert task X', or says 'roll back the last task', 'undo this work'.
upload
Pre-upload gate for track handoff. Verifies review status, HLD approvals, deploy checklist, and validator chain before git upload or PR submission.
chinese-commit-conventions
A Chinese-language guide to Conventional Commits, a format for writing consistent Git commit messages, plus related changelog, commit-checking, and commit-helper configuration.
review-delta
Review only changes since last commit using impact analysis. Token-efficient delta review with automatic blast-radius detection.
git-commit
Git commit message generator that creates conventional commit messages based on code changes.