BF fact-checker
事实核查与谣言终结者。当用户输入一句话、一段新闻或一张图片并询问其真伪、是否是谣言、是否属实时，激活此技能。通过结构化的推理、网络检索和视觉取证，客观判定信息的真实性。触发场景包括：用户说"这是真的吗"、"帮我查查这条消息"、"这张图是不是P的"、"辟谣"、"fact check"等。
As a process F 31/100 · Will not run — References files that are not bundled: URL
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
frontmatter-yamlSKILL.md: the frontmatter is not valid YAML (YAML parse error: Unexpected scalar at node end at line 2, column 110: …结构化的推理、网络检索和视觉取证，客观判定信息的真实性。触发场景包括：用户说"这是真的吗"、"帮我查查这条消息"、"这张图是不是P的"、"辟谣"、"fact… ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ ); fields were read line by line. The usual cause is a colon inside an unquoted value - warning
description-no-whendescription does not say WHEN to use the skill (no "use when") - warning
missing-refreference to a missing file: URL
Process rating: all ten parameters 31/100
Will not run. References files that are not bundled: URL
- 0Tools and files. 1 referenced file(s) missing: URL
- 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
- 40Consistency. Frontmatter name (fact-checker) differs from the folder (fact-checker-cn)
- 100Steps. 25 steps
- 100Execution cost. Instruction body is 493 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)
- +3Output format is not stated: the model decides each time
- +1No license
- +2Single-language instructions
- +5Description quotes 3 example trigger phrases
- +3Description length 143: enough signal without eating the budget
- +4Structure: 10 headings
- +3Step-by-step instructions: 25 items
- +4Has examples (1 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 61.
External checks
ClawHub: clean
This is an instruction-only fact-checking skill whose web search and image-analysis guidance match its stated purpose.
LLM: benign (high) · VirusTotal: · 29 May 2026