SKILLEMALL.ai

AB fde-adoption-and-value

Stage 7 of FDE Delivery Loop. Turn POC run evidence into an adoption plan, value measurement, and next-investment decision covering target users, behavior change, value metrics, baselines, data sources, risks, and scale conditions. Use for post-POC review, adoption acceleration, business-value evaluation, reinvestment recommendations, and pre-scale preparation. Do not rewrite POC results, fabricate ROI, or replace formal commercial negotiation.

ClawHub Agent Skills author: xukun0821 v1.0.0 MIT-0 14 files body ≈ 1 317 tokens Open the sourceclawhub.ai analyzed 3 d ago

Stage 7 of FDE Delivery Loop.

As a process B 72/100 · Nearly there — weak spots: when it triggers, failures and branches, running it twice

AnalyzerData and analyticsSales and CRMtype and topics are labelled automatically from the skill text
JSON
Technical rating
A
95/100
safety, quality, tests
Safety 60%
100
Quality 40%
88
Run on models
none yet
Process rating
B
72/100
Nearly there
Failures and branches w 10
0
Progress reporting w 2
0
When it triggers w 12
20
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: 14. 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 72/100

    • 0Failures and branches. Linear process with no failure handling
    • 0Progress reporting. Says nothing while it works
    • 20When it triggers. No condition that starts the skill
    • 30Running it twice. 3 mutating operations with no state check
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 100Tools and files. No external tools needed
    • 100Steps. 27 steps
    • 100Result and completion. Output format and completion criterion are stated
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1317 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 448: enough signal without eating the budget
    • +4Structure: 9 headings
    • +3Step-by-step instructions: 27 items
    • +3Output format is stated explicitly
    • +4Reference files are cited in the instructions (9 of 9)
    • +1License stated

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 88.

    External checks

    ClawHub: clean
    This skill is a documentation-only adoption and value review guide with no scripts, persistence, hidden execution, or unrelated data handling.
    LLM: benign (high) · VirusTotal: · 7 Aug 2026