BF bagua-furnace
从书、课程、笔记、视频、录音稿、讨论记录，以及客户甩来的网页/PDF/短视频链接等知识密集素材中，自动辨类型→转文本→提炼可复用方法论（成丹为结构化方法卡），用以补充扫地僧等谋士技能，让通用方法论脱离纯学术、更通用。 Use when：用户给了材料或链接并想「提炼方法论」「萃取方法」「做成方法卡」「建立方法论库」，或想把某本书/门课/段视频/段录音变成可迁移的决策框架、思维模型。支持输入类型：纯文本、本地 PDF/图片、网页文章链接、抖音/快手/小红书/视频号短视频分享链接、YouTube/B站/本地音视频（需 ASR 转写）。消费方是扫地僧等谋士层技能——本炉只产顾问级方法论卡，不产可执行 Agent Skill。 Trigger keywords：提炼方法论、萃取方法、做方法卡、建立方法论库、把书变框架、把课变模型、视频转方法论、笔记提炼、讨论记录洞察、链接提炼、八卦炉。
从书、课程、笔记、视频、录音稿、讨论记录，以及客户甩来的网页/PDF/短视频链接等知识密集素材中，自动辨类型→转文本→提炼可复用方法论（成丹为结构化方法卡），用以补充扫地僧等谋士技能，让通用方法论脱离纯学术、更通用。 Use…
As a process F 40/100 · Will not run — References files that are not bundled: scripts/*.py
What is at stake
Medium-severity findings: the skill is probably honest, but read what alarmed the scanner.
Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.
The skill asks for more than the task needs: broad tool access, credential environment variables, binaries. Every extra permission widens the damage from a mistake or a compromise.
Narrow allowed-tools and the variable list to the minimum; replace binaries with readable sources or scripts.
How to improve
- The text references files that are not there: add them or drop the references.
- 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 · 1
✓ No critical or high findings
Medium and low: 1
-
medium Broad scope
meta-broad-allowed-toolsSKILL.md:1Broad tool permissions pre-approved: Bashallowed-tools: Bash Write Edit Read WebFetch
Files scanned: 25. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
missing-refreference to a missing file: scripts/*.py - note
frontmatter-keyunknown frontmatter key "displayName" - note
frontmatter-keyunknown frontmatter key "slug" - note
frontmatter-keyunknown frontmatter key "agent_created" - note
frontmatter-keyunknown frontmatter key "recommends"
Process rating: all ten parameters 40/100
- 0Tools and files. 1 referenced file(s) missing: scripts/*.py
- 0Result and completion. Does not say what the result is
- 0Inputs and preconditions. Does not say what the process needs to start
- 20When it triggers. No condition that starts the skill
- 30Running it twice. 3 mutating operations with no state check
- 50Failures and branches. 0 branches, has a failure section
- 100Steps. 45 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1872 tokens
- 100Progress reporting. Reports progress
- low 14 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)
- +3Output format is not stated: the model decides each time
- -31 of 8 scripts are never mentioned in SKILL.md
- +1No license
- +2Single-language instructions
- +3Description length 395: enough signal without eating the budget
- +4Structure: 15 headings
- +3Step-by-step instructions: 45 items
- +4Has examples (1 code blocks)
- +4Reference files are cited in the instructions (5 of 14)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 76.