SKILLEMALL.ai

AB claim-to-source-auditor

When the user asks to audit, fact-check, verify, or cross-check an article, report, draft, or series. Triggered by 审稿/审计/核验/事实检查/来源追溯/查一下这个数据/核对/审查/跨平台一致性/三平台统一/回归检查/有没有事实错误/这个引用对不对/跟上次比有没有退化. Extracts verifiable claims, traces them to L0 primary or L1 reliable secondary sources, marks each as 通过/部分支持/缺证/错误/判断, and produces a structured audit report with P0-P2 severity. Supports cross-platform version comparison and regression gold-set re-runs. Only audits facts and sources — does not edit style or argument structure.

ClawHub Agent Skills author: haiyangchen v1.0.4 MIT-0 3 files body ≈ 2 254 tokens Open the sourceclawhub.ai analyzed 3 d ago

When the user asks to audit, fact-check, verify, or cross-check an article, report, draft, or series.

As a process B 79/100 · Nearly there — weak spots: inputs and preconditions, consistency

AnalyzerData and analyticsAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
92/100
safety, quality, tests
Safety 60%
100
Quality 40%
80
Run on models
none yet
Process rating
B
79/100
Nearly there
Inputs and preconditions w 11
0
Consistency w 8
40
Result and completion w 14
60
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: 3. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • note frontmatter-key unknown frontmatter key "description_zh"
    • note frontmatter-key unknown frontmatter key "description_en"
    • note frontmatter-key unknown frontmatter key "not_for"
    • note frontmatter-key unknown frontmatter key "agent_created"

    Process rating: all ten parameters 79/100

    • 0Inputs and preconditions. Does not say what the process needs to start
    • 40Consistency. Frontmatter name (claim-to-source-auditor) differs from the folder (claim-to-source-auditor-skill)
    • 60Result and completion. Output format stated, no completion criterion
    • 100Tools and files. No external tools needed
    • 100Steps. 56 steps
    • 100When it triggers. States when to use and when not to
    • 100Failures and branches. 1 branches, has a failure section
    • 100Execution cost. Instruction body is 2254 tokens
    • 100Running it twice. Mutating operations check current state
    • 100Progress reporting. Reports progress
    • low 10 top-level sections: this looks like several domains in one skill

    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
    • +1No license
    • +2Single-language instructions
    • +3Description length 523: enough signal without eating the budget
    • +4Structure: 18 headings
    • +3Step-by-step instructions: 56 items
    • +3Output format is stated explicitly

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 80.

    External checks

    ClawHub: clean
    This skill is a fact-auditing workflow with disclosed source checking, reporting, optional regression files, and user-accepted article revisions, with no evidence of hidden or destructive behavior.
    LLM: benign (high) · VirusTotal: · 31 Aug 2026