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 work-unit-commitsgit 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/work-unit-commits)<a href="https://agentmods.dev/skills/gentleman-programming/gentle-pi/work-unit-commits"><img src="https://agentmods.dev/badge/skills/gentleman-programming/gentle-pi/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-pi/work-unit-commits"><img src="https://agentmods.dev/badge/skills/gentleman-programming/gentle-pi/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 | $0.00036 | $0.00826 |
| Opus 5.5 | $0.00014 | $0.00330 |
| Sonnet 5.5 | $0.00007 | $0.00165 |
| Haiku 4.5 | $0.00004 | $0.00083 |
Grade A, and why
gentle-ai-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 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.
How it starts
The opening of the file, as written. The whole thing — 89 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.
- Applying SDD tasks without accidentally producing a PR above 400 changed lines.
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. |
| SDD workload guard | If SDD tasks forecast a >400-line change, group commits into chained PR slices before implementation. |
| 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.
- 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.
- 1mo ago Changed · +2 lines 6d1ec334136b
- 1mo ago First seen · 87 lines · 36 tokens per session scan A f065b0e134f3
gentle-ai-work-unit-commits is a skill published in the GitHub repository Gentleman-Programming/gentle-pi (804 stars, last pushed 1mo ago), licensed MIT. It adds 36 tokens to every session and 826 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
review-delta
Review only changes since last commit using impact analysis. Token-efficient delta review with automatic blast-radius detection.
work-unit-commits
Plan commits as reviewable work units. Trigger: implementation, commit splitting, chained PRs, or keeping tests and docs with code.
ring:generating-pr-descriptions
Generating pull request descriptions from git branch changes with automatic title generation, change-type detection, and smart analysis. Uses branch-only scope to avoid full history analysis. Use when preparing a PR for review. Skip when the PR is a single trivial commit or description already exists.
validate-changes
Evaluate staged changes using LLM-as-a-Judge before committing.
commit
A commit candidate is the exact patch that will enter the commit. A coherent change has one task or issue as its reason for existing.
github-platform
GitHub pull requests, review threads, failing Actions checks and stacked pull requests, through GitHub's MCP server and the gh CLI. Use when opening, reviewing or updating a pull request, fixing a failed check, or splitting a change into a stack.