SKILLEMALL.ai

AB experience-distiller

Distill finished work into the right OpenClaw knowledge layer. Use when a task, fix, setup, integration, cron/report workflow, repeated operation, or output-style decision has just finished and you need to decide what should be written to daily logs, the experience bank, a playbook, or a reusable skill. Triggers include requests like “沉淀一下”, “把这次经验记下来”, “应该写到哪里”, “提炼成经验”, “升级成 playbook/skill”, “这个经验记一下”, or any post-task knowledge routing decision.

ClawHub Agent Skills author: jimmyhe v0.1.1 MIT-0 5 files body ≈ 343 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process B 69/100 · Nearly there — weak spots: when it triggers, inputs and preconditions

IntegrationInfrastructureData and analyticstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
97/100
safety, quality, tests
Safety 60%
100
Quality 40%
92
Run on models
none yet
Process rating
B
69/100
Nearly there
Inputs and preconditions w 11
0
When it triggers w 12
20
Failures and branches w 10
55
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: 5. 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 69/100

    • 0Inputs and preconditions. Does not say what the process needs to start
    • 20When it triggers. No condition that starts the skill
    • 55Failures and branches. 1 branches
    • 60Result and completion. Output format stated, no completion criterion
    • 100Tools and files. No external tools needed
    • 100Steps. 32 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 343 tokens
    • 100Running it twice. No mutating operations
    • 100Progress reporting. Reports progress

    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)
    • +4No input/output examples
    • +1No license
    • +2Single-language instructions
    • +5Description quotes 4 example trigger phrases
    • +3Description length 452: enough signal without eating the budget
    • +4Structure: 6 headings
    • +3Step-by-step instructions: 32 items
    • +3Output format is stated explicitly
    • +4Reference files are cited in the instructions (3 of 3)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 92.

    External checks

    ClawHub: clean
    This instruction-only skill helps decide where to save completed-task lessons and may write knowledge files when asked, with no hidden code or network behavior found.
    LLM: benign (high) · VirusTotal: · 29 May 2026