SKILLEMALL.ai

AB fde-poc-runner

Stage 6 of FDE Delivery Loop. Run a deployable solution and Agent Skill in representative or controlled customer scenarios against pre-agreed evidence, tests, and success criteria, then produce a Continue, Adjust, or Stop decision report. Use for POC trials, demo execution, acceptance validation, issue triage, and POC retrospectives. Do not rewrite success criteria during a run, conceal failure evidence, or declare production approval.

ClawHub Agent Skills author: xukun0821 v1.0.0 MIT-0 15 files body ≈ 1 396 tokens Open the sourceclawhub.ai analyzed 2 d ago

Stage 6 of FDE Delivery Loop.

As a process B 70/100 · Nearly there — weak spots: when it triggers, running it twice, progress reporting

AnalyzerInfrastructureData and analyticsAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
96/100
safety, quality, tests
Safety 60%
100
Quality 40%
91
Run on models
none yet
Process rating
B
70/100
Nearly there
Progress reporting w 2
0
When it triggers w 12
20
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: 15. 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 70/100

    • 0Progress reporting. Says nothing while it works
    • 20When it triggers. No condition that starts the skill
    • 30Running it twice. 4 mutating operations with no state check
    • 50Failures and branches. 0 branches, has a failure section
    • 60Tools and files. Uses tools (bash, node) that frontmatter does not declare
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 100Steps. 31 steps
    • 100Result and completion. Output format and completion criterion are stated
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1396 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)
    • +4No input/output examples
    • +2Single-language instructions
    • +3Description length 439: enough signal without eating the budget
    • +4Structure: 9 headings
    • +3Step-by-step instructions: 31 items
    • +3Output format is stated explicitly
    • +4Reference files are cited in the instructions (9 of 9)
    • +3All 1 scripts are documented
    • +1License stated

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 91.

    External checks

    ClawHub: clean
    This skill is a disclosed POC validation workflow with a small local summary script and no hidden persistence, credential use, or automatic high-impact actions.
    LLM: benign (high) · VirusTotal: · 7 Aug 2026