SKILLEMALL.ai

BC fact-check

Fast, source-backed answer to a factual question — a technology, a term/noun, a date/version/value, or a "is it true that…" claim. Triage the question simple vs complex, fan out PARALLEL web searches, early-exit the moment the answer is corroborated, and return a citation-backed bottom-line answer within a hard time budget: simple ≤2 min, complex ≤5 min. Speed/efficiency is the defining goal. Use when the user wants a quick verified answer: "fact-check this", "quickly find out / look up X", "what is <tech/term>", "is it true that Y", "$fact-check". Do NOT use for: a thorough, exhaustive, multi-source RESEARCH REPORT (that is deep-research — this skill returns a bounded BLUF answer, not a report); subjective / opinion / recommendation questions with no factual answer ("best laptop for me"); domain deep-evaluations with their own skill (album-review for 乐评, hifi-review for audio gear); questions answerable from the open repo/context with no web lookup; creative, math, or coding tasks with no external fact to verify.

ClawHub Agent Skills author: VincentJiang06 v0.1.0 MIT-0 37 files body ≈ 1 005 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process C 52/100 · Has gaps — weak spots: result and completion, inputs and preconditions, consistency

AnalyzerData and analyticsResearchInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
B
87/100
safety, quality, tests
Safety 60%
100
Quality 40%
68
Run on models
none yet
Process rating
C
52/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Progress reporting w 2
0
the three weakest of ten parameters · all ten

How to improve

  1. Shorten the description to 1024 characters.
For the model run — optional
  • 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: 11. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • error description-long description is 1030 chars, limit 1024

Process rating: all ten parameters 52/100

  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 40Consistency. Frontmatter name (fact-check) differs from the folder (fast-fact-check)
  • 60Tools and files. Uses tools (bash, web, node) that frontmatter does not declare
  • 60Failures and branches. 2 branches
  • 64Steps. 3 steps, 1 vague phrases
  • 100When it triggers. States when to use and when not to
  • 100Execution cost. Instruction body is 1005 tokens
  • 100Running it twice. No mutating operations
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing

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

  • +3Description length 1029: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • +4No input/output examples
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 7 example trigger phrases
  • +4Description says when NOT to use the skill
  • +4Structure: 6 headings
  • +3Step-by-step instructions: 3 items
  • +4Reference files are cited in the instructions (5 of 5)
  • +3All 1 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 68.

External checks

ClawHub: clean
This fact-checking skill is coherent and purpose-aligned, with no artifact evidence of hidden data access, persistence, exfiltration, or unsafe authority.
LLM: benign (high) · VirusTotal: · 5 Jun 2026