countersign-skills
CLAUDE.md2 starsChanged 38 days agoMITView on GitHub
Skills, global rule modules and subagent types for coding agents (Claude Code, Codex, Antigravity), installed by POSIX sh scripts (install.sh, update.sh, uninstall.sh, with lib.sh shared) and described by a generated catalog.json. jq handles the JSON. - Zero comments in shell scripts, workflows and Markdown. Names carry the meaning. Rationale goes into docs/. A pinned action's # vX.Y.Z suffix stays. - The only # shellcheck directive is source=lib.sh before each . "$root/lib.sh". Fix the code otherwise, or use the exclusions in…
In this repository16 other files it gives its agents.
- codebase-researchSkill
- context-transferSkill
- feature-pr-descriptionSkill
- how-it-worksSkill
- human-voice-writingSkill
- i18n-translateSkill
- impact-checkSkill
- memory-reviewSkill
- orchestrateSkill
- promotion-pr-descriptionSkill
- pr-review-triageSkill
- qa-testerSkill
- release-notesSkill
- thorough-diff-reviewSkill
- walkthroughSkill
- writeups-cleanupSkill
The file
We split this CLAUDE.md into the rules it gives an agent
1 rule. About 0 are common, 0 are distinctive, and 1 is very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈0
Distinctive · estimate
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 14
Every SKILL.md ends with the exact local.md line, keeps description at most 200 bytes and its folder name equal to its name, and has …
≈ “Common” is an estimate: at least 1 in 5 of the 26,980 CLAUDE.md files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
countersign-skills
Skills, global rule modules and subagent types for coding agents (Claude Code, Codex,
Antigravity), installed by POSIX sh scripts (install.sh, update.sh, uninstall.sh, with
lib.sh shared) and described by a generated catalog.json. jq handles the JSON.
Rules
- Zero comments in shell scripts, workflows and Markdown. Names carry the meaning. Rationale goes
into
docs/. A pinned action's# vX.Y.Zsuffix stays. - The only
# shellcheckdirective issource=lib.shbefore each. "$root/lib.sh". Fix the code otherwise, or use the exclusions in.shellcheckrcandscripts/lint.sh. - POSIX
shwithset -eu, BSD and GNU compatible, macOS first. - Every
SKILL.mdends with the exactlocal.mdline, keepsdescriptionat most 200 bytes and its folder name equal to itsname, and haswhen_to_useunless it disables model invocation. - List every skill in
skills.tsvand every rule inrules.tsv. Bump a skill's version there with every change to it. - Regenerate
catalog.jsonwithscripts/catalog.sh;./test.shfails while it is stale. - Prose: short declarative sentences, English only.
- Conventional Commits, one task per commit.
Gates
scripts/check.shIt must pass before a change is done. It runs ./test.sh, every scripts/test-*.sh and
scripts/lint.sh.
Repo facts
| Fact | Detail |
| The surfaces, and how to reach each | cli: run install.sh, update.sh and uninstall.sh against a scratch home, HOME="$(mktemp -d)" CLAUDE_CONFIG_DIR= ./install.sh, never the real one. bin/statusline: reads Claude Code's status line JSON on stdin. bin/gh: wraps gh; run it with a stub gh first on PATH, as scripts/test-gh.sh does. |
| Branches | One branch per release carries all of its work and its note, and goes into main through one pull request. There is no staging. |
| Reviews | No automated review and no required approval; reviews follow docs/review-checklist.md. |
| Release PRs | The release branch goes into main as a merge commit titled chore(release): v<semver>, with no promotion contract; the note is releases/release-<semver>.md (contract in releases/README.md) and is committed on that branch, and a v* tag on main starts the release workflow. No check runs only on release PRs. |
| Licence | MIT, no CLA. |
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

