dot-verify
Skill13 starsChanged 4 days agoMITView on GitHub
Qualify the fmind/dot working tree before a release: review changes, sync docs, run every gate, and smoke-test the dot CLI.
1 other project uses a version of this.
Adopted by
Most recently taken up by
- fmind/dotfilesword for word, first seen Nov 8, 2026
Other versions1 project uses a version of this.
Word for word · 1
- fmind/dotfiles★ 13100% same
Edited · 0
None found.
Wrote their own version · 0
None found.
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository67 other files it gives its agents.
- AGENTS.mdAGENTS.md
- dot_agents/AGENTS.mdAGENTS.md
- skills/repository-docs/references/agents.mdAGENTS.md
- chezmoiSkill
- dot-developmentSkill
- dot-releaseSkill
- dot-skillsSkill
- acliSkill
- agent-evaluationSkill
- agent-frameworksSkill
- agent-harnessesSkill
- agent-projectSkill
- agent-protocolsSkill
- agySkill
- airflowSkill
- auth-statusSkill
- awsSkill
- bfSkill
- chrome-devtoolsSkill
- clipboardSkill
- cloud-runSkill
- code-securitySkill
- colabSkill
- databricksSkill
- diagrams-as-codeSkill
- dockerSkill
- documentation-siteSkill
- dot-cliSkill
- dprintSkill
- draft-docSkill
- draft-mailSkill
- duckdbSkill
- fmind-visualsSkill
- full-reviewSkill
- gcloudSkill
- ghSkill
- git-deliverySkill
- github-actionsSkill
- github-issuesSkill
- github-pull-requestSkill
- github-repositorySkill
- google-developerSkill
- gwsSkill
- hfSkill
- infra-as-codeSkill
- kaggleSkill
- kubernetesSkill
- lesson-learnedSkill
- mcp-setupSkill
- miseSkill
- model-providersSkill
- playwrightSkill
- project-scaffoldingSkill
- python-mlopsSkill
- python-stackSkill
- python-webSkill
- repository-docsSkill
- scheduled-jobsSkill
- skillifySkill
- <name>Skill
- The first 60 shown.
The file
We split this skill into the rules it gives an agent
2 rules. About 0 are common, 0 are distinctive, and 2 are 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.
2
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 21
Synchronize docs: check README.md, AGENTS.md, dot_agents/AGENTS.md, .github/*.md, .agents/skills/, and skills/ against the code: removed or …
- Very specific: line 24
Check the workstation: when tools or dotfiles changed: mise run diff preview, dot orphan for retired targets (report, never delete), and …
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill 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
Verify Dot
Prove that the current checkout (committed and uncommitted work) is correct, documented, and releasable. This skill sequences the owners; full-review, repository-docs, dot-development, and dot-skills own the details. Verification fixes findings in place but never commits, pushes, or releases; dot-release owns that.
Workflow
- Record the baseline: record
git status --short, staged and unstaged diffs, untracked files, andgit fetchstate againstorigin/main. Commits already onmainsince the last tag are part of the candidate; preserve unrelated work. - Review the change set: list what changed since the last tag (
git diff <tag>) plus uncommitted work, excluding generated locks. For large sets, fan out read-only reviews by area (dot Python, chezmoi and host config, docs and skills) and verify each finding against code or real local data before fixing. Behavior fixes need regression tests per dot-development. - Synchronize docs: check
README.md,AGENTS.md,dot_agents/AGENTS.md,.github/*.md,.agents/skills/, andskills/against the code: removed or renamed files, commands and flags (uv run --frozen --project dot dot <command> --help), tasks (mise tasks), and JSON fields. Bumpupdated:on changed skills; runmise run format:skillsfor guide indexes; follow dot-skills for catalog changes. - Run the gates:
mise run format(isolated when unrelated edits are present),mise run all, then the host checks it omits:mise run check:completionsandmise run test:starters. Rerun only what a later fix invalidates. - Smoke-test the CLI from the repository root with
uv run --frozen --project dot dot(--directory dotwould resolve.todot/):--helpfor every top-level command, then read-only commands:doctor,agent doctor,agent context --check,config show,status,orphan,cache,prune --dry-run,prune --aggressive --dry-run,pull --dry-run,trust --dry-run ., andagent stats --no-sync. Every exit code must be 0 or explained. - Check the workstation when tools or dotfiles changed:
mise run diffpreview,dot orphanfor retired targets (report, never delete), andmise run doctor.STALEfor the installeddotis expected until release ormise run deploy. - Report: fixed findings, deliberately left items with reasons, each check and its result, and confirm the tested snapshot equals the candidate (the working tree after the last fix).
Gotchas
- Suppress lock false positives narrowly: universal uv locks list versions for old Python markers. Confirm the installed environment's resolved version; record a false positive as a path-scoped
.trivyignore.yamlentry with astatement, never by lowering severity. - Fix upstream breaks at the source: an upgraded tool can drop its completion generator or tighten a pinned dependency; fix the source configuration and its skill, not the deployed copy.
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.

