SKILLEMALL.ai

AF dairy-market-report

Use when the user asks to generate a China dairy market intelligence report (乳制品市场行情报告). Reads dairy industry monthly PDFs (e.g. 艾格农业-中国乳业研究月报) plus any supplementary documents in the working directory, then produces a single, magazine-style PDF report covering raw milk prices, feed costs, China vs overseas milk prices, dairy production & import YTD, exports, GDT auction results, GDT-to-warehouse landed cost calculations (AMF/WMP/SMP, contract-2 pricing), outlook, deep-dive analysis, deep-processing innovation, and corporate/policy events. Layout: continuous flow (no forced page break per section), 12 numbered sections, KPI cards, banded tables, color-coded change pills (涨红跌绿), AI takeaway callouts, and a cover + two-column TOC.

ClawHub Agent Skills author: 叶鹏 v1.0.0 MIT-0 11 files body ≈ 3 278 tokens Open the sourceclawhub.ai analyzed 2 d ago

Reads dairy industry monthly PDFs (e.g. 艾格农业-中国乳业研究月报) plus any supplementary documents in the working directory, then produces a single, magazine-style PDF…

As a process F 53/100 · Will not run — References files that are not bundled: assets/styles.css

GeneratorPDFOutlookWordData and analyticstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
90/100
safety, quality, tests
Safety 60%
100
Quality 40%
74
Run on models
none yet
Process rating
F
53/100
Will not run
References files that are not bundled: assets/styles.css
Tools and files w 18
0
Result and completion w 14
0
Progress reporting w 2
0
the three weakest of ten parameters · all ten

How to improve

  1. 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: 11. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning frontmatter-yaml SKILL.md: the frontmatter is not valid YAML (YAML parse error: Nested mappings are not allowed in compact mappings at line 3, column 14: description: Use when the user asks to generate a China dairy market intelligen… ^ ); fields were read line by line. The usual cause is a colon inside an unquoted value
  • warning missing-ref reference to a missing file: assets/styles.css
  • note frontmatter-key unknown frontmatter key "agent_created"

Process rating: all ten parameters 53/100

Will not run. References files that are not bundled: assets/styles.css
  • 0Tools and files. 1 referenced file(s) missing: assets/styles.css
  • 0Result and completion. Does not say what the result is
  • 0Progress reporting. Says nothing while it works
  • 30Running it twice. 1 mutating operations with no state check
  • 55Failures and branches. 1 branches
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 85Steps. 53 steps, 1 vague phrases
  • 100When it triggers. States when to use and when not to
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 3278 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
  • +3Output format is not stated: the model decides each time
  • -5TODO / placeholder text left in the skill
  • +2Single-language instructions
  • +4Description says when NOT to use the skill
  • +3Description length 738: enough signal without eating the budget
  • +4Structure: 15 headings
  • +3Step-by-step instructions: 53 items
  • +4Has examples (4 code blocks)
  • +4Reference files are cited in the instructions (4 of 4)
  • +3All 4 scripts are documented
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 74.

External checks

ClawHub: clean
This skill is a coherent report-generation tool that processes local dairy-market documents and produces a PDF, with no evidence of hidden or unrelated behavior.
LLM: benign (high) · VirusTotal: · 9 Jul 2026