SKILLEMALL.ai

AF competitor-readout

Use when the user wants a periodic competitor digest — what tracked competitors changed, where the gaps are — as a document, from observation history or public diffs.

ClawHub Agent Skills author: TrustGrowth.ai v1.0.1 MIT-0 4 files body ≈ 568 tokens Open the sourceclawhub.ai analyzed 3 d ago

Read references/provider-selection.md before choosing a source. Detect what is already available, run with it, deliver value, then recommend at most one…

As a process F 39/100 · Will not run — References files that are not bundled: references/provider-selection.md

ProcedureInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
A
91/100
safety, quality, tests
Safety 60%
100
Quality 40%
78
Run on models
none yet
Process rating
F
39/100
Will not run
References files that are not bundled: references/provider-selection.md
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
0
the three weakest of ten parameters · all ten

How to improve

  1. The text references files that are not there: add them or drop the references.
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: 4. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: references/provider-selection.md

Process rating: all ten parameters 39/100

Will not run. References files that are not bundled: references/provider-selection.md
  • 0Tools and files. 1 referenced file(s) missing: references/provider-selection.md
  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Failures and branches. Linear process with no failure handling
  • 0Progress reporting. Says nothing while it works
  • 30Running it twice. 2 mutating operations with no state check
  • 70When it triggers. States when to use, but not when not to
  • 100Steps. 5 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 568 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
  • +1No license
  • +2Single-language instructions
  • +3Description length 166: enough signal without eating the budget
  • +4Structure: 5 headings
  • +3Step-by-step instructions: 5 items
  • +4Reference files are cited in the instructions (2 of 2)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 78.

External checks

ClawHub: clean
This skill is a competitor SEO reporting helper that uses public pages or user-configured SEO providers with disclosed limits and approval gates.
LLM: benign (high) · VirusTotal: · 2 Sept 2026