SKILLEMALL.ai

BB keyapi-linkedin-user-analytics

Discover, profile, and deeply analyze LinkedIn users — explore professional profiles, contact information, work experience, education, skills, publications, certifications, honors, recommendations, interests, posts, comments, and videos.

ClawHub Agent Skills author: lycici v1.0.0 MIT-0 4 files body ≈ 3 513 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process B 66/100 · Nearly there — weak spots: result and completion, when it triggers

AnalyzerData and analyticsInfrastructureMedia and videotype and topics are labelled automatically from the skill text
JSON
Technical rating
B
87/100
safety, quality, tests
Safety 60%
95
Quality 40%
75
Run on models
none yet
Process rating
B
66/100
Nearly there
Result and completion w 14
0
When it triggers w 12
20
Tools and files w 18
60
the three weakest of ten parameters · all ten

How to improve

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
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 · 5

✓ No critical or high findings

Medium and low: 5
  • low Exfiltration net-credential-use scripts/run.js:59
    Credential used in a network call (verify the destination is the intended service) (the skill's own vendor host)
    const SERVER_BASE = process.env.KEYAPI_SERVER_URL ?? "https://mcp.keyapi.ai";
    vendor-host
  • low Secrets in code secret-high-entropy-token SKILL.md:115
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    > - `urn` — an internal opaque identifier (e.g., `ACoA…Wh8`). Required by all other user nodes.
    quoted
  • low Secrets in code secret-high-entropy-token SKILL.md:162
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    --params '{"urn":"ACoA…Wh8","page":1}' --pretty
    quoted
  • low Secrets in code secret-high-entropy-token SKILL.md:169
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    --params '{"urn":"ACoA…Wh8","page":2,"pagination_token":"<token_from_previous_response>"}' --pretty
    quoted
  • low Secrets in code secret-high-entropy-token SKILL.md:183
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    --params '{"urn":"ACoA…bhc","type":"received","page":1}' --pretty
    quoted

Files scanned: 4. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description does not say WHEN to use the skill (no "use when")
  • note frontmatter-key unknown frontmatter key "repository"

Process rating: all ten parameters 66/100

  • 0Result and completion. Does not say what the result is
  • 20When it triggers. No condition that starts the skill
  • 60Tools and files. Uses tools (bash, web, node) that frontmatter does not declare
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 100Steps. 23 steps
  • 100Failures and branches. 2 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 3513 tokens
  • 100Running it twice. Mutating operations check current state
  • 100Progress reporting. Reports progress

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
  • +2Single-language instructions
  • +3Description length 237: enough signal without eating the budget
  • +4Structure: 11 headings
  • +3Step-by-step instructions: 23 items
  • +4Has examples (10 code blocks)
  • +3All 1 scripts are documented
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 75.

External checks

ClawHub: suspicious
This LinkedIn analytics skill appears purpose-related, but it grants broad KeyAPI tool access while caching personal profile data and saving an API token in plaintext without adequate disclosure or controls.
LLM: suspicious (high) · VirusTotal: · 29 May 2026