report
Skill0 starsChanged 36 days agoMITView on GitHub
Show and explain Crucible benchmark results for one task or across tasks, with the recommended model configuration. Use when the user asks which model or effort to use, or how a benchmark went.
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
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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 repository5 other files it gives its agents.
- CLAUDE.mdCLAUDE.md
- create-taskSkill
- initSkill
- mineSkill
- runSkill
The file
We split this skill into the rules it gives an agent
4 rules. 0 are common, 1 is distinctive, and 3 are very specific to this project.
0
Common
Most of the 68 edited versions we read keep these.
1
Distinctive
This author's own choices. Worth a look.
3
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 12
Run crucible report $ARGUMENTS from the repo.
- Very specific: line 16
If it says there are no results, tell the user to run /crucible:run <task-id> first.
- Distinctive: line 27
If no config meets the bar, say so and name the best candidates instead of recommending one.
- Very specific: line 28
If it prints Recommendation: none.
“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 benchmark results
Arguments: $ARGUMENTS.
- Run
crucible report $ARGUMENTSfrom the repo. With a task id it compares every configuration for that task; without one it reports across tasks, grouped by task kind, with a recommendation per kind. Flags:--batch,--json,--kind,--min-attempts,--threshold. - If it says there are no results, tell the user to run
/crucible:run <task-id>first. Do not start a run yourself; it spends usage. - Summarise in plain language, not by pasting the table alone:
- the recommendation and the evidence behind it (success rate with its 95% interval, cost
per success, median time), and on how many tasks it was compared (the cross-task report
prints
Compared on N of M tasks attempted by every config); - the runner-up, and the trade-off against it;
- caveats: few attempts or a wide interval,
Unknownresults,Stoppedattempts (a limit ended them),Judge≠checkdisagreements, unpriced attempts, a warning that a config pooled several models, or a warning that the task changed between batches. When the report says "compared on N of M tasks" with N below M, or "no common task", relay it. If no config meets the bar, say so and name the best candidates instead of recommending one. If it printsRecommendation: none; no task was attempted by every config, say there is no common task to compare on and suggest running the same task with every config; do not pick a winner.
- the recommendation and the evidence behind it (success rate with its 95% interval, cost
per success, median time), and on how many tasks it was compared (the cross-task report
prints
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.

