analyze-code
Skill887 starsChanged 29 days agoMITView on GitHub
Run repository code analysis as a final check after completing prompts, targeting every changed Rust package by PackageNames.
3 other projects use a version of this.
Adopted by
Most recently taken up by
- jjmrocha/coding-skillstheir own version, first seen Oct 13, 2026
- lgtm-hq/ai-skillstheir own version, first seen Oct 13, 2026
- babamba2/superclaude-for-saptheir own version, first seen Apr 16, 2026
Other versions3 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 3
- babamba2/superclaude-for-sap★ 71same name
- jjmrocha/coding-skills★ 1same name
- lgtm-hq/ai-skills★ 1same 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.
In this repository22 other files it gives its agents.
- AGENTS.mdAGENTS.md
- eng/tools/generate_api/AGENTS.mdAGENTS.md
- samples/AGENTS.mdAGENTS.md
- sdk/core/AGENTS.mdAGENTS.md
- sdk/cosmos/AGENTS.mdAGENTS.md
- sdk/cosmos/azure_data_cosmos_emulator/AGENTS.mdAGENTS.md
- sdk/cosmos/docs/AGENTS.mdAGENTS.md
- agentic-workflowsSkill
- check-spellingSkill
- create-crateSkill
- create-hotfixSkill
- create-perf-testSkill
- create-recorded-testSkill
- document-cratesSkill
- export-apiSkill
- lint-markdownSkill
- prepare-releaseSkill
- review-doc-commentsSkill
- update-emitterSkill
- update-rustSkill
- cosmos-design-structSkill
- cosmos-pre-commit-validationSkill
The file
We split this skill into the rules it gives an agent
3 rules. 0 are common, 3 are distinctive, and 0 are very specific to this project.
0
Common
Most of the 3 edited versions we read keep these.
3
Distinctive
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 8
Run this as a final check after completing any prompt that changes repository files.
- Distinctive: line 21
Run the analyzer once from the repository root with all changed package names:
- Distinctive: line 27
If neither changed files nor the prompt identify a service crate, report that no packages need analysis.
“Common” is measured: kept by at least 6 in 10 of the 3 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Analyze changed packages
Run this as a final check after completing any prompt that changes repository files.
Collect changed files from Git, including staged, unstaged, untracked, and deleted files:
{ git diff --staged --name-only; git diff --name-only; git ls-files --others --exclude-standard -- 'sdk'; } | sort -u- Assume service crates live under
sdk/<service-directory>/<crate-name>. For each changed file undersdk/, derive the candidate crate directory from the first three path segments and keep it only when<crate-directory>/Cargo.tomlexists. Include any crate names specified in the prompt, then collect and deduplicate all<crate-name>values as package names. Run the analyzer once from the repository root with all changed package names:
./eng/scripts/Analyze-Code.ps1 -PackageNames @('<crate-name-1>', '<crate-name-2>')
If neither changed files nor the prompt identify a service crate, report that no packages need analysis. Otherwise, report the packages analyzed and any failures.
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.

