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AC enrich-linkedin-profile

Turn a LinkedIn profile URL into a full person profile plus a verified work email in a single call, powered by Cargo. Triggers: "enrich these LinkedIn profiles", "get details from this LinkedIn URL", "I have LinkedIn URLs and need emails", "enrich LinkedIn data", "who is this person", "contact enrichment", "linkedin enrichment", "get their headline and tenure", "pull the whole biography". Providers: aiArk. Skip when: you do not have the LinkedIn URL yet — use find-linkedin-url first; or you only have a name and domain — use find-work-email.

ClawHub Agent Skills author: Cargo v1.1.0 MIT-0 2 files body ≈ 1 071 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

Turn a LinkedIn profile URL into a full person profile plus a verified work email in a single call, powered by Cargo.

As a process C 51/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

AnalyzerGitHubSoftware developmentSales and CRMtype 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
94/100
safety, quality, tests
Safety 60%
100
Quality 40%
85
Run on models
none yet
Process rating
C
51/100
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 · 0

    ✓ No critical or high findings

    Files scanned: 2. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • note frontmatter-key unknown frontmatter key "homepage"

    Process rating: all ten parameters 51/100

    • 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
    • 20When it triggers. No condition that starts the skill
    • 50Steps. 2 steps
    • 50Failures and branches. 0 branches, has a failure section
    • 100Tools and files. No external tools needed
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1071 tokens
    • 100Running it twice. Mutating operations check current state

    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)
    • +3No numbered steps or checklist
    • +3Output format is not stated: the model decides each time
    • +1No license
    • +2Single-language instructions
    • +5Description quotes 9 example trigger phrases
    • +3Description length 546: enough signal without eating the budget
    • +4Structure: 8 headings
    • +4Has examples (5 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 85.

    External checks

    ClawHub: suspicious
    The core LinkedIn enrichment task is coherent, but the skill also adds unrelated session attribution and GitHub repo-starring behavior that users should review carefully.
    LLM: suspicious (high) · 16 Aug 2026