BF linkfox-expert-niche-market-recommendation
输入关键词，用极目数据发现全部细分市场，按可配置标准评估进入价值，输出推荐清单（强烈推荐/推荐/谨慎考虑/不推荐）。
输入关键词，用极目数据发现全部细分市场，按可配置标准评估进入价值，输出推荐清单（强烈推荐/推荐/谨慎考虑/不推荐）。
As a process F 35/100 · Will not run — References files that are not bundled: references/steps/S0.md, references/steps/S1.md, references/steps/S2.md
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: 2. 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/steps/S0.md - warning
missing-refreference to a missing file: references/steps/S1.md - warning
missing-refreference to a missing file: references/steps/S2.md - warning
missing-refreference to a missing file: references/steps/S3.md - note
frontmatter-keyunknown frontmatter key "zh_name"
Process rating: all ten parameters 35/100
Will not run. References files that are not bundled: references/steps/S0.md, references/steps/S1.md, references/steps/S2.md
- 0Tools and files. 4 referenced file(s) missing: references/steps/S0.md, references/steps/S1.md, references/steps/S2.md
- 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. 12 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1049 tokens
- 100Running it twice. No mutating operations
- low 12 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 58: 120–800 characters recommended
- +3Output format is not stated: the model decides each time
- +1No license
- +2Single-language instructions
- +4Structure: 19 headings
- +3Step-by-step instructions: 12 items
- +4Has examples (2 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 56.
External checks
ClawHub: suspicious
The skill can perform the advertised niche-market analysis, but it also includes account login, API-key generation, billing/order creation, persistent local outputs, configurable credential-bearing endpoints, and automatic feedback reporting that users should review carefully.
LLM: suspicious (high) · 21 Aug 2026