BF linkedin-person-search-zh
依托 LinkedIn 数据库，结合岗位职位、所属企业、所在地区筛选目标人员，帮助销售团队、招聘专员及商务拓展人员精准挖掘企业决策者和潜在商务联系人。
依托 LinkedIn 数据库，结合岗位职位、所属企业、所在地区筛选目标人员，帮助销售团队、招聘专员及商务拓展人员精准挖掘企业决策者和潜在商务联系人。
As a process F 35/100 · Will not run — References files that are not bundled: references/linkedin-person-list-api.md, references/skill-error-report-api.md, scripts/*.py
ProcedureWriting and documentsSoftware developmentData and analyticstype and topics are labelled automatically from the skill text
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
- The text references files that are not there: add them or drop the references.
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: 0. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
description-no-whendescription does not say WHEN to use the skill (no "use when") - warning
missing-refreference to a missing file: references/linkedin-person-list-api.md - warning
missing-refreference to a missing file: references/skill-error-report-api.md - warning
missing-refreference to a missing file: scripts/*.py
Process rating: all ten parameters 35/100
Will not run. References files that are not bundled: references/linkedin-person-list-api.md, references/skill-error-report-api.md, scripts/*.py
- 0Tools and files. 3 referenced file(s) missing: references/linkedin-person-list-api.md, references/skill-error-report-api.md, scripts/*.py
- 0Result and completion. Does not say what the result is
- 0Inputs and preconditions. Does not say what the process needs to start
- 0Failures and branches. Linear process with no failure handling
- 0Progress reporting. Says nothing while it works
- 20When it triggers. No condition that starts the skill
- 100Steps. 60 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1195 tokens
- 100Running it twice. No mutating operations
- low 11 top-level sections: this looks like several domains in one skill
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)
- +3Description length 75: 120–800 characters recommended
- +3Output format is not stated: the model decides each time
- +1No license
- +2Single-language instructions
- +4Structure: 24 headings
- +3Step-by-step instructions: 60 items
- +4Has examples (6 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 57.
External checks
ClawHub: clean
This is a disclosed paid LinkedIn-data search skill that uses Upkuajing APIs, with notable but purpose-aligned handling of API keys, billing, remote requests, and saved search results.
LLM: benign (medium) · VirusTotal: · 24 Aug 2026