SKILLEMALL.ai

BC clawditor

Audit an OpenClaw agent workspace and generate standardized evaluation reports, scores, and patches. Use when asked to review memory quality, retrieval efficiency, productive output, reliability, or alignment by scanning memory/logs/configs/git/artifacts and writing eval/exec_summary.md, eval/scorecard.md, and eval/latest_report.json (with deltas if prior eval/history exists).

ClawHub Agent Skills author: Theylon v1.0.0 10 files · 6 scripts body ≈ 1 198 tokens Open the sourceclawhub.ai↗ analyzed 12 d ago

Audit an OpenClaw agent workspace and generate standardized evaluation reports, scores, and patches.

As a process C 56/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

AnalyzerSoftware developmentData and analyticsAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
B
93/100
safety, quality, tests
Safety 60%
100
Quality 40%
82
Run on models
none yet
Process rating
C
56/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Progress reporting w 2
0
the three weakest of ten parameters · all ten

How to improve

    For the model run — optional
    • Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
    • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

    Guard findings · 0

    ✓ No critical or high findings

    Files scanned: 10. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • note edit-residue the text marks something as outdated (lines 21): check that old rules are not kept next to new ones — the full check reads the text for contradictions

    Process rating: all ten parameters 56/100

    • 0Result and completion. Does not say what the result is
    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Progress reporting. Says nothing while it works
    • 20When it triggers. No condition that starts the skill
    • 30Running it twice. 6 mutating operations with no state check
    • 50Failures and branches. 0 branches, has a failure section
    • 100Tools and files. No external tools needed
    • 100Steps. 68 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1198 tokens

    Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.

    Quality signals

    • +5Description has no quoted example phrases that should trigger the skill
    • +4Description does not say when NOT to use the skill (false activations)
    • +3Output format is not stated: the model decides each time
    • +4No input/output examples
    • -5TODO / placeholder text left in the skill
    • +1No license
    • +2Single-language instructions
    • +3Description length 379: enough signal without eating the budget
    • +4Structure: 10 headings
    • +3Step-by-step instructions: 68 items
    • +4Reference files are cited in the instructions (1 of 1)
    • +3All 6 scripts are documented

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 82.

    External checks

    ClawHub: suspicious
    This audit skill is mostly purpose-aligned, but it can copy sensitive memory or log snippets into report files and can be directed to write reports outside the intended workspace.
    LLM: suspicious (high) · VirusTotal: benign · 10 Sept 2026