checkup
Skill1 starsChanged 30 days agoMITView on GitHub
Guidance for the upstream project-checkup sequence: policy, directives, metrics, infrastructure, duplication, security, documentation, knowledge integrity and drift. Use after updates or during onboarding. Run only with the compatible runtime and inspect collected evidence; one checkup does not establish completeness or optimality.
7 other projects use a version of this, 1 of them edited.
Adopted by
Most recently taken up by
- BermanRoman/promt-seo-geotheir own version, first seen Nov 8, 2026
- egregore-labs/egregoretheir own version, first seen Nov 6, 2026
- johnviklund/agent-skillstheir own version, first seen Sep 12, 2026
- rainstorm0907/claude-checkuptheir own version, first seen Aug 12, 2026
- zedarvates/botte-secreteedited, first seen Aug 8, 2026
- agentvitals/checkuptheir own version, first seen Jul 28, 2026
Other versions7 projects use a version of this.
Word for word · 0
None found.
Edited · 1
- zedarvates/botte-secrete★ 259% same
Wrote their own version · 6
- egregore-labs/egregore★ 293same name
- agentvitals/checkup★ 95same name
- johnviklund/agent-skills★ 2same name
- tokyubevoxelverse/checkup★ 1same name
- BermanRoman/promt-seo-geo★ 0same name
- rainstorm0907/claude-checkup★ 0same name
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.
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The file
Files
checkup — the canonical project checkup ("botte doctor")
Package scope and prerequisites
This catalog ships instructions, not the executable runtime. Python modules, scripts, local services and optional tools named below must be installed separately from the upstream project. Check their availability before running commands; if they are missing, explain the prerequisite instead of claiming execution or results. The host agent may use model tokens while following these instructions.
Commands, APIs and runtime behavior described below are conditional examples for a compatible upstream installation; they are not evidence of execution in this package.
The upstream command assembles a documented review sequence and prints a verdict based on the checks that ran. Verify detector availability and evidence; a verdict does not prove complete coverage or an optimal procedure.
python -m skills.checkup.cli # current dir
python -m skills.checkup.cli <project> --json
python -m skills.checkup.cli . --pr-comment # Markdown verdict for a PR comment
python -m skills.checkup.cli . --doctor # + machine scan + ranked top-3 opportunities
python -m skills.checkup.cli . --doctor --fresh # re-scan for local LLM backends (not cached)--doctor — the one-verb assembly
--doctor is checkup plus two things it doesn't otherwise do:
- machine scan — is a local LLM backend reachable (LM Studio/Ollama)? via
[[llm-backends]]
audit(); reads the cached registry unless--fresh. - ranked top-3 opportunities — fixes from [[fix]]
find_fixes(), ranked by estimated token cost (highest first), plus any remaining drift items, capped at 3.
Both feed a one-line verdict: ✅ sain when there's no drift and a local
backend is active, or ⚠️ N optimisation(s), ~X tokens d'opportunités
otherwise. Pure assembly of existing modules — no new skill, no new report format.
Sequence (cheap → deeper)
- policy — is
.botte/policy.mdcommitted? (shared rules for devs/agents) - directives — CLAUDE.md/AGENTS.md health + stale path refs
- metrics — LOC per component + always-on cost + savings framing
- infra — hardware/software/MCP cluster tips (+ ASCII diagram)
- duplication — stdlib AST duplicate-function scan
- security — taint / data-flow scan ([[fallow-like]]
TaintAnalyzer), CWE-tagged; high-severity findings are considered for drift review. - docs review — recurring Markdown due/current status from [[docs-steward]]. Never-reviewed bootstrap files are informational; an expired interval or explicitly watched content change becomes drift.
- knowledge integrity — when a Wiki or second brain is detected, verify its structural maintenance contract and propose reviewable changes. P1/P2 gaps become drift; the audit remains read-only and makes no semantic-cleanliness claim.
- drift — MCP wired? directives stale/oversized? policy missing? security?
Then points at the deep code audit (secrets/dead-code) for when you want it.
Why
A component update or another dev/agent introduces drift — stale directives,
unwired MCP, an oversized CLAUDE.md, a missing policy. /checkup catches all of
the configured sequence. Confirm which checks ran and treat any missing evidence or detector as a reported limitation.
On pull requests
--pr-comment prints a verdict-first Markdown comment (carrying a stable marker
so a bot can edit it in place), including the security section — so the
taint/data-flow section can be reviewed with the rest of the CI output. The 🧦 Botte Checkup (PR) GitHub
Action (.github/workflows/botte-pr-checkup.yml) runs this on every PR and
can post/update a comment via gh when that separate workflow, dependencies, credentials and permissions are configured. The workflow is not included in this catalog; verify its behavior before reuse.
Related: [[preflight]] (enforces prefer-local every turn), [[infra-advisor]], [[metrics]], [[trends]], [[directives-audit]], [[bootstrap]].
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
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People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
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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.

