BD fp_community_insight
把 Agent-Reach 抓取的 Reddit（17个subreddit）和专业论坛热帖数据，聚类成本周 热门话题、高频用户痛点、FridayParts 内容机会、趋势信号四个模块。挖掘出的痛点 和选题可直接喂给 fp_youtube_script 做视频脚本、fp_blog_to_social 做文章。 自动标注合规风险（如 DPF delete）。是"挖痛点→出内容"流水线的源头。 Use when: 分析 Reddit/论坛热帖 / 挖掘用户痛点 / 内容选题分析。
把 Agent-Reach 抓取的 Reddit（17个subreddit）和专业论坛热帖数据，聚类成本周 热门话题、高频用户痛点、FridayParts 内容机会、趋势信号四个模块。挖掘出的痛点 和选题可直接喂给 fpyoutubescript 做视频脚本、fpblogtosocial 做文章。…
As a process D 46/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions
How to improve
- 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: 6. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
name-formatname should be kebab-case (lowercase letters, digits, hyphens) - note
frontmatter-keyunknown frontmatter key "display_name" - note
frontmatter-keyunknown frontmatter key "temperature" - note
frontmatter-keyunknown frontmatter key "max_tokens" - note
frontmatter-keyunknown frontmatter key "triggers"
Process rating: all ten parameters 46/100
- 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
- 30Running it twice. 3 mutating operations with no state check
- 40Consistency. Frontmatter name (fp_community_insight) differs from the folder (fp-community-insight)
- 100Tools and files. No external tools needed
- 100Steps. 13 steps
- 100Execution cost. Instruction body is 492 tokens
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)
- +3Output format is not stated: the model decides each time
- -42 reference files, but SKILL.md never points to them: the model will not open them
- +1No license
- +2Single-language instructions
- +3Description length 239: enough signal without eating the budget
- +4Structure: 6 headings
- +3Step-by-step instructions: 13 items
- +4Has examples (1 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 72.