BF 研报/论文四层提取 (Paper Decompose)
把研报/论文的"读后感"提升到"博导审稿视角"——四层结构化提取（缺口/增量/Napkin/启发）。 触发词：「拆论文」「论文四层」「深度解读论文」「研报拆解」「paper-decompose」
把研报/论文的"读后感"提升到"博导审稿视角"——四层结构化提取（缺口/增量/Napkin/启发）。 触发词：「拆论文」「论文四层」「深度解读论文」「研报拆解」「paper-decompose」
As a process F 31/100 · Will not run — References files that are not bundled: test-cases/sample-report.md
ProcedureData and analyticsAI and agentsWriting and documentstype 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
name-formatname should be kebab-case (lowercase letters, digits, hyphens) - warning
description-no-whendescription does not say WHEN to use the skill (no "use when") - warning
missing-refreference to a missing file: test-cases/sample-report.md - note
frontmatter-keyunknown frontmatter key "slug" - note
frontmatter-keyunknown frontmatter key "created" - note
frontmatter-keyunknown frontmatter key "reference" - note
frontmatter-keyunknown frontmatter key "priority" - note
frontmatter-keyunknown frontmatter key "level"
Process rating: all ten parameters 31/100
Will not run. References files that are not bundled: test-cases/sample-report.md
- 0Tools and files. 1 referenced file(s) missing: test-cases/sample-report.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
- 40Consistency. Frontmatter name (研报/论文四层提取 (Paper Decompose)) differs from the folder (paper-decompose)
- 100Steps. 51 steps
- 100Execution cost. Instruction body is 987 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 97: 120–800 characters recommended
- +3Output format is not stated: the model decides each time
- -232 emoji in the instructions: noise for the model
- +1No license
- +2Single-language instructions
- +4Structure: 20 headings
- +3Step-by-step instructions: 51 items
- +4Has examples (4 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 53.
External checks
ClawHub: clean
This is a markdown-only paper/report analysis skill with disclosed optional investment commentary, but users should treat that section as non-personal financial analysis.
LLM: benign (medium) · VirusTotal: · 26 Jun 2026