report
Skill23 starsChanged 2 months agoMITView on GitHub
Use when the user asks for a written record of what was done: \"write it up\", \"give me a report\", \"summarize what you changed\", \"document this cycle\": or at the end of a build/QA cycle ONLY if the project's cycle-report preference is on. Off by default: never produce one unprompted, and skip it for a one-line change.
93 other projects use a version of this.
Adopted by
Most recently taken up by
- BermanRoman/promt-seo-geotheir own version, first seen Nov 8, 2026
- eliasjnior/claude-skillstheir own version, first seen Nov 8, 2026
- ai-search-guru/getcito-worlds-first-open-source-aio-aeo-or-geo-tooltheir own version, first seen Nov 8, 2026
- leinardi/adversarial-review-looptheir own version, first seen Nov 8, 2026
- KadirHarmanc/nazar-skilltheir own version, first seen Nov 8, 2026
- zedarvates/frugal-skillstheir own version, first seen Nov 8, 2026
Used with
Projects with it also use opportunities, export and 9 more.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
ansvisorSkillopportunities
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soilmassSkillexport
Animation export configurations including format selection, resolution, framerate, quality, and optimization settings. Use when rendering animations for web, mobile, video, or social media. Provides tokens for all export parameters across Lottie, GIF, video, and sprite sheet formats.
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GoogleSkillquality
Evaluates whether a GitHub issue is spam, empty, needs more information, or is OK to proceed.
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genomewalkerSkillresume
Resume a thread by loading its ~800-token context capsule
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tokyubevoxelverseSkillcheckup
Give a repository a full health exam — doc rot, dependency staleness, CI decay, git hygiene, dead links, docs contradicting code — and grade it. Use when the user wants to know what quietly rotted, or a prioritized maintenance list.
Also in 3 projects that use this
rajnavakotiSkillscan
Run the AI dashboard scanner and generate the HTML report.
Also in 5 projects that use this
Other versions93 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 93
- microsoft/data-formulator★ 17ksame name
- Zafer-Liu/Data-Analysis-Agent★ 2.6ksame name
- H-mmer/pentest-agents★ 815same name
- ai-search-guru/getcito-worlds-first-open-source-aio-aeo-or-geo-tool★ 432same name
- cwinvestments/memstack★ 425same name
- automagik-dev/genie★ 351same name
- namastexlabs/automagik-genie★ 351same name
- ansvisor/ansvisor★ 233same name
- andrew-yangy/gru-ai★ 153same name
- zhaji2333/CkSKILLS★ 145same name
83 more not listed
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 repository34 other files it gives its agents.
- AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
- analyzeSkill
- assessSkill
- blueprintSkill
- breakdownSkill
- buildSkill
- checklistSkill
- clarifySkill
- constitutionSkill
- convergeSkill
- debugSkill
- deepenSkill
- deprecateSkill
- double-checkSkill
- explainSkill
- handoffSkill
- helpSkill
- initSkill
- interviewSkill
- learnSkill
- levelupSkill
- lintSkill
- living-docsSkill
- performanceSkill
- personaSkill
- promptSkill
- prototypeSkill
- qaSkill
- quarantineSkill
- roadmapSkill
- routeSkill
- signatureSkill
- specifySkill
The file
We split this skill into the rules it gives an agent
4 rules. 0 are common, 2 are distinctive, and 2 are very specific to this project.
0
Common
Most of the 68 edited versions we read keep these.
2
Distinctive
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
- Distinctive: line 15
Default is off: otherwise the in-chat verdict is the whole deliverable.
- Very specific: line 19
Read .mastermind/prefs.md in the project root for a cycle-report: line: one of:
- Distinctive: line 38
Keep it tight: a bloated report gets ignored (same rule as the brain: signal density beats volume).
- Very specific: line 42
Markdown (default): write .mastermind/reports/<slug>-<YYYY-MM-DD>.md (use today's date), or a path the user names.
“Common” is measured: kept by at least 6 in 10 of the 68 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
report: a receipt for the work
Turn a completed cycle into a concise, skimmable record someone can read without re-reading the diff. It's the same content as the in-chat verdict, made durable and shareable.
When it runs
- On request: "give me a report", "write up what you did", "summarize this cycle".
- Automatically at the end of
build/qaonly if the project preference says so (below). Default is off: otherwise the in-chat verdict is the whole deliverable.
Preference (per project): off by default
Read .mastermind/prefs.md in the project root for a cycle-report: line: one of:
off(default, and the assumption if the file/key is missing): report only on explicit request.ask: at the end of a report-worthy cycle, offer once: "want a report? markdown / html / no".markdown: always write a Markdown report.html: always write a self-contained HTML report.
The init skill sets this once, at the first task. The user can change it anytime ("reports off",
"always give me html reports"): update the line in .mastermind/prefs.md to match.
What goes in it: signal, not a log
- Title + verdict: Done · Done, not fully checked · Not done · Wrong thing, one line why,
and the
not checked:line. - What changed: files touched (path + one-line what), grouped by area.
- Key decisions: the non-obvious calls and the one-line reason (not what the model already knows).
- How it was verified: what was actually run/observed end-to-end, and what it produced.
- Follow-ups / risks: anything left, edge cases, TODOs.
Keep it tight: a bloated report gets ignored (same rule as the brain: signal density beats volume).
Format
- Markdown (default): write
.mastermind/reports/<slug>-<YYYY-MM-DD>.md(use today's date), or a path the user names. Cheap, diffable, opens anywhere. - HTML (on request /
cycle-report: html): one self-contained file (inline CSS, no external assets or scripts), lightly MasterMind-styled, so it opens in any browser. Costs more tokens.
Tool-agnostic: always a plain file on disk, so it survives whatever tool wrote it.
Cost & restraint
An HTML report adds meaningful output tokens (~1.5–4k) vs Markdown (~0.4–1k); the in-chat verdict is ~free. Match effort to stakes: for a one-line change, skip the report entirely: offer nothing. Reserve it for cycles someone would actually want to read or share.
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.

