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AC causal-abel

Use when the user wants an Abel causal read on what drives a market, company, asset, sector, or macro node, how two nodes connect, what changes under intervention, or how a career, education, housing, lifestyle, or investment decision with meaningful money, time, career-capital, or downside tradeoff should be evaluated through Abel proxy signals.

ClawHub Agent Skills author: ExenVitor v1.1.6 MIT-0 12 files body ≈ 1 894 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process C 60/100 · Has gaps — weak spots: result and completion, inputs and preconditions, running it twice

AnalyzerInfrastructuretype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
A
91/100
safety, quality, tests
Safety 60%
97
Quality 40%
81
Run on models
none yet
Process rating
C
60/100
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

    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 · 3

    ✓ No critical or high findings

    Medium and low: 3
    • low Secrets in code secret-high-entropy-token scripts/cap_probe.py:65
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      "15Ye…age",
      quoted
    • low Secrets in code secret-high-entropy-token scripts/cap_probe.py:66
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      "30Ye…age",
      quoted
    • low Secrets in code secret-high-entropy-token scripts/cap_probe.py:67
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      "3Mon…sit",
      quoted

    Files scanned: 12. 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 60/100

    • 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
    • 30Running it twice. 1 mutating operations with no state check
    • 60Tools and files. Uses tools (bash, web, python, node) that frontmatter does not declare
    • 70Failures and branches. 11 branches
    • 100Steps. 30 steps
    • 100When it triggers. States when to use and when not to
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1894 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
    • -31 of 2 scripts are never mentioned in SKILL.md
    • +1No license
    • +2Single-language instructions
    • +3Description length 348: enough signal without eating the budget
    • +4Structure: 9 headings
    • +3Step-by-step instructions: 30 items
    • +4Reference files are cited in the instructions (4 of 4)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 81.

    External checks

    ClawHub: suspicious
    This skill appears built for Abel causal analysis, but it needs Review because it stores an API key locally and exposes broad remote probing for high-impact decision advice.
    LLM: suspicious (high) · VirusTotal: · 29 May 2026