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BA onlyfansapi-skill

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modbender/skill-library-mcp Agent Skills author: modbender MIT 2 files body ≈ 1 638 tokens Open the sourcegithub.com↗ analyzed 2 d ago

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As a process A 81/100 · Runs to the end — weak spots: consistency, progress reporting

ProcedureData and analyticstype 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
B
77/100
safety, quality, tests
Safety 60%
70
Quality 40%
87
Run on models
none yet
Process rating
A
81/100
Runs to the end
Progress reporting w 2
0
Consistency w 8
40
Result and completion w 14
60
the three weakest of ten parameters · all ten

What is at stake

Medium-severity findings: the skill is probably honest, but read what alarmed the scanner.

Broad scope medium severity

Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.

If you install

The skill asks for more than the task needs: broad tool access, credential environment variables, binaries. Every extra permission widens the damage from a mistake or a compromise.

For the author

Narrow allowed-tools and the variable list to the minimum; replace binaries with readable sources or scripts.

Exfiltration medium severity

Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.

If you install

The instructions or scripts send data out: environment variables, keys, file contents, chat history. You may never notice, because the agent performs the upload as "part of the task".

For the author

If the upload is not needed for the task, remove it: catalogs flag such skills and delist them. If it is needed, name the destination explicitly, say what leaves the machine, and give the user a switch.

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 · 6

    ✓ No critical or high findings

    Medium and low: 6
    • medium Broad scope meta-broad-allowed-tools SKILL.md:1
      Broad tool permissions pre-approved: Bash(curl:*)
      allowed-tools: Bash(curl:*) Bash(jq:*) Read
    • medium Exfiltration net-credential-use SKILL.md:49
      Credential used in a network call (verify the destination is the intended service)
      curl -s -H "Authorization: Bearer $ONLYFANSAPI_API_KEY" \
    • medium Exfiltration net-credential-use SKILL.md:62
      Credential used in a network call (verify the destination is the intended service)
      curl -s -H "Authorization: Bearer $ONLYFANSAPI_API_KEY" \
    • medium Exfiltration net-credential-use SKILL.md:81
      Credential used in a network call (verify the destination is the intended service)
      curl -s -H "Authorization: Bearer $ONLYFANSAPI_API_KEY" \
    • medium Exfiltration net-credential-use SKILL.md:92
      Credential used in a network call (verify the destination is the intended service)
      curl -s -H "Authorization: Bearer $ONLYFANSAPI_API_KEY" \
    • medium Exfiltration net-credential-use SKILL.md:119
      Credential used in a network call (verify the destination is the intended service)
      curl -s -H "Authorization: Bearer $ONLYFANSAPI_API_KEY" \

    Files scanned: 2. 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 81/100

    • 0Progress reporting. Says nothing while it works
    • 40Consistency. Frontmatter name (onlyfansapi-skill) differs from the folder (onlyfans-api)
    • 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
    • 100Tools and files. Tools declared in frontmatter
    • 100Steps. 50 steps
    • 100Failures and branches. 1 branches, has a failure section
    • 100Execution cost. Instruction body is 1638 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

    • +5Description has no quoted example phrases that should trigger the skill
    • +4Description does not say when NOT to use the skill (false activations)
    • +1No license
    • +2Single-language instructions
    • +3Description length 288: enough signal without eating the budget
    • +4Structure: 14 headings
    • +3Step-by-step instructions: 50 items
    • +3Output format is stated explicitly
    • +4Has examples (8 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 87.