SKILLEMALL.ai

AA ContextLedger

Evidence-first knowledge auditing skill that upgrades connected knowledge into an auditable conclusion card. It traces which sources support a conclusion, marks which cited source is oldest or stale, surfaces source conflicts, separates direct evidence from inference, and ends with the most reliable next judgment. Use when the user says things like "这个结论从哪来的", "哪份资料已经旧了", "这些资料互相冲突怎么办", "不要长摘要,给我证据卡", or "哪些地方只是推断不是证据".

ClawHub Agent Skills author: haidong v1.0.0 MIT-0 8 files body ≈ 1 948 tokens Open the sourceclawhub.ai analyzed 2 d ago

As a process A 83/100 · Runs to the end — weak spots: progress reporting

AnalyzerWriting and documentstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
94/100
safety, quality, tests
Safety 60%
100
Quality 40%
86
Run on models
none yet
Process rating
A
83/100
Runs to the end
Progress reporting w 2
0
Result and completion w 14
60
When it triggers w 12
70
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: 8. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • warning name-format name should be kebab-case (lowercase letters, digits, hyphens)
    • note frontmatter-key unknown frontmatter key "slug"

    Process rating: all ten parameters 83/100

    • 0Progress reporting. Says nothing while it works
    • 60Result and completion. Output format stated, no completion criterion
    • 70When it triggers. States when to use, but not when not to
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 70Failures and branches. 7 branches
    • 100Tools and files. No external tools needed
    • 100Steps. 120 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1948 tokens
    • 100Running it twice. No mutating operations

    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

    • +4Description does not say when NOT to use the skill (false activations)
    • +4No input/output examples
    • +1No license
    • +2Single-language instructions
    • +5Description quotes 5 example trigger phrases
    • +3Description length 423: enough signal without eating the budget
    • +4Structure: 24 headings
    • +3Step-by-step instructions: 120 items
    • +3Output format is stated explicitly
    • +4Reference files are cited in the instructions (2 of 2)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 86.

    External checks

    ClawHub: clean
    This instruction-only skill's requests and instructions are consistent with its stated purpose (evidence-first auditing of user-provided documents) and it does not ask for unrelated credentials, installs, or suspicious behaviour.
    LLM: benign (high) · VirusTotal: benign · 4 Apr 2026