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BC linkdapi-openclaw

Complete LinkdAPI integration OpenClaw skill. Includes all 50+ endpoints, Python/Node.js/Go SDKs, authentication, rate limits, and real-world examples. Use this skill whenever the user wants to look up LinkedIn profiles, search LinkedIn people or companies, enrich leads, research LinkedIn jobs, scrape LinkedIn posts or articles, do B2B prospecting, get LinkedIn company data, or call any LinkedIn data API. Always use this skill for ANY LinkedIn data task, even if the user just says "find me on LinkedIn" or "look up this company" or "search LinkedIn for engineers in Berlin".

ClawHub Agent Skills author: LinkdAPI v1.0.0 MIT-0 4 files body ≈ 2 480 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

As a process C 56/100 · Has gaps — weak spots: result and completion, inputs and preconditions, consistency

IntegrationInfrastructureSoftware developmentWriting and documentstype 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
81/100
safety, quality, tests
Safety 60%
75
Quality 40%
90
Run on models
none yet
Process rating
C
56/100
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

What is at stake

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

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 · 5

    ✓ No critical or high findings

    Medium and low: 5
    • medium Exfiltration net-credential-use SKILL.md:26
      Credential used in a network call (verify the destination is the intended service)
      curl -s -H "X-linkdapi-apikey: $LINKDAPI_KEY" \
    • medium Exfiltration net-credential-use SKILL.md:153
      Credential used in a network call (verify the destination is the intended service)
      PROFILE=$(curl -s -H "X-linkdapi-apikey: $LINKDAPI_KEY" \
    • medium Exfiltration net-credential-use SKILL.md:159
      Credential used in a network call (verify the destination is the intended service)
      curl -s -H "X-linkdapi-apikey: $LINKDAPI_KEY" \
    • medium Exfiltration net-credential-use SKILL.md:161
      Credential used in a network call (verify the destination is the intended service)
      curl -s -H "X-linkdapi-apikey: $LINKDAPI_KEY" \
    • medium Exfiltration net-credential-use SKILL.md:163
      Credential used in a network call (verify the destination is the intended service)
      curl -s -H "X-linkdapi-apikey: $LINKDAPI_KEY" \

    Files scanned: 4. 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 56/100

    • 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
    • 40Consistency. Frontmatter name (linkdapi-openclaw) differs from the folder (linkdapi-official)
    • 50Steps. 2 steps
    • 50Failures and branches. 0 branches, has a failure section
    • 100Tools and files. No external tools needed
    • 100When it triggers. States when to use and when not to
    • 100Execution cost. Instruction body is 2480 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)
    • +3No numbered steps or checklist
    • +3Output format is not stated: the model decides each time
    • +1No license
    • +2Single-language instructions
    • +5Description quotes 3 example trigger phrases
    • +3Description length 579: enough signal without eating the budget
    • +4Structure: 23 headings
    • +4Has examples (7 code blocks)
    • +4Reference files are cited in the instructions (1 of 1)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 90.

    External checks

    ClawHub: clean
    This is a disclosed LinkdAPI skill for LinkedIn data lookups, with privacy and API-key cautions but no evidence of hidden or destructive behavior.
    LLM: benign (high) · VirusTotal: benign · 28 May 2026