eval
Skill18 starsChanged 23 days agoMITView on GitHub
Run the logseq-brain eval suite in WSL2 as the logseq-eval user — free --check by default, a paid full or single-case run only after confirmation. Invoke only when the user asks to run evals.
41 other projects use a version of this.
Adopted by
Most recently taken up by
- jisuzzzz/haechitheir own version, first seen Nov 8, 2026
- Integralist/agent-skillstheir own version, first seen Nov 6, 2026
- DataChuLee/Claude-Code-Settingtheir own version, first seen Nov 1, 2026
- jh941213/my-cc-harnesstheir own version, first seen Nov 1, 2026
- jh941213/ADLC-harnesstheir own version, first seen Nov 1, 2026
- julienamorgan/signal-prospecting-kittheir own version, first seen Oct 25, 2026
Used with
Projects with it also use docs-ci, docs-interfaces and 10 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.
jh941213Skilldocs-ci
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jh941213Skilldocs-interfaces
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- +4 more from jh941213
Other versions41 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 41
- PrimeIntellect-ai/prime-rl★ 2.2ksame name
- rohanpsingh/LearningHumanoidWalking★ 1.2ksame name
- mikeyobrien/rho★ 372same name
- ai-analyst-lab/ai-analyst★ 304same name
- jh941213/ADLC-harness★ 125same name
- jh941213/my-cc-harness★ 125same name
- jh941213/my-claude-code-asset★ 125same name
- qtzx06/yolodex★ 96same name
- Kastalien-Research/thoughtbox★ 64same name
- Kanevry/session-orchestrator★ 53same name
31 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.
The file
We split this skill into the rules it gives an agent
3 rules. 0 are common, 1 is distinctive, and 2 are very specific to this project.
0
Common
Most of the 32 edited versions we read keep these.
1
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
- Very specific: line 13
Run it only through WSL2 as the logseq-eval user: wsl -d FedoraLinux-44 -u logseq-eval sh /mnt/d/AI/logseq-brain/tools/eval/run.sh ….
- Distinctive: line 15
Run it through PowerShell, or through Bash with single quotes.
- Very specific: line 26
Always run --check first. Before any paid mode, state the estimated cost and wait for a yes.
“Common” is measured: kept by at least 6 in 10 of the 32 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
Run the eval suite
evals/README.md is the source of truth. Read it before running anything the first time in a session.
Hard rules
- Run it only through WSL2 as the
logseq-evaluser:wsl -d FedoraLinux-44 -u logseq-eval sh /mnt/d/AI/logseq-brain/tools/eval/run.sh …. Never run it on native Windows, and never as the Docker-linked user. - It evaluates committed files only. If
git statusshows uncommitted changes toplugin/, say that they won't be evaluated. - Run it through PowerShell, or through Bash with single quotes. wsl.exe heredocs halve backslashes.
Modes
| Ask | Command args | Cost |
| default / "check" | --check | free: case schema and tool grants |
| harness self-test | run sh tools/eval/test.sh locally | free |
| one case | --case <name> | paid, a fraction of a full run |
| full | (no args) | paid, ≈ $4–7 of plan usage |
Always run --check first. Before any paid mode, state the estimated cost and wait for a yes.
Reading the result
- Exit 0 means every case passed and the canary is clean. A usage-limit error is not a failure; rerun after the limit resets.
- A failed case may be rerun once with
--case <name>. A pass on the rerun counts as a flake, and a second failure is a real failure. - Report per-case pass/fail, both canary lines, and the
load-digestandsave-basictool-call figures. Reports land inevals/results/, which is gitignored.
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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- 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.
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