SKILLEMALL.ai

AB clawdit

Belief systems auditor for OpenClaw agents. Systematically evaluates an agent's loaded context files (SOUL.md, AGENTS.md, USER.md, skills) against the user's stated goals to identify misaligned, stale, conflicting, vague, or redundant beliefs. Use when the user says "audit my agent", "audit my beliefs", "run clawdit", "review my config", "check my soul", "belief check", or any variation requesting a review of their agent's configuration and belief system.

ClawHub Agent Skills author: M. Christopher Roebuck v1.1.0 MIT-0 3 files body ≈ 2 481 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process B 66/100 · Nearly there — weak spots: result and completion, inputs and preconditions, running it twice

AnalyzerAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
95/100
safety, quality, tests
Safety 60%
100
Quality 40%
87
Run on models
none yet
Process rating
B
66/100
Nearly there
Result and completion w 14
0
Inputs and preconditions w 11
0
Running it twice w 4
30
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: 3. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    ✓ No remarks against the Agent Skills spec

    Process rating: all ten parameters 66/100

    • 0Result and completion. Does not say what the result is
    • 0Inputs and preconditions. Does not say what the process needs to start
    • 30Running it twice. 3 mutating operations with no state check
    • 70When it triggers. States when to use, but not when not to
    • 70Failures and branches. 6 branches
    • 100Tools and files. No external tools needed
    • 100Steps. 92 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 2481 tokens
    • 100Progress reporting. Reports progress
    • low The response is described with custom markup (5 tags): a typed call is more reliable

    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

    • +4Description does not say when NOT to use the skill (false activations)
    • +3Output format is not stated: the model decides each time
    • -212 emoji in the instructions: noise for the model
    • +1No license
    • +2Single-language instructions
    • +5Description quotes 6 example trigger phrases
    • +3Description length 459: enough signal without eating the budget
    • +4Structure: 17 headings
    • +3Step-by-step instructions: 92 items
    • +4Has examples (2 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 87.

    External checks

    ClawHub: clean
    Clawdit is a markdown-only agent-audit skill whose file reading and proposed edits fit its stated purpose, with no hidden execution or exfiltration behavior found.
    LLM: benign (high) · VirusTotal: · 29 May 2026