SKILLEMALL.ai

AF fn-portrait

Financial report footnote extraction and analysis tool for Chinese A-share listed companies. Use when: (1) User wants to extract financial note data from annual reports (附注), (2) User wants to analyze financial statement footnotes, (3) User mentions 'Portrait', '财报附注', '年报分析', 'financial notes extraction', (4) User wants to download annual reports from CNINFO (巨潮资讯网), (5) User wants to visualize financial data from Chinese stock reports. Supports Shanghai/Shenzhen stock exchanges, STAR Market (科创板), ChiNext (创业板), and main boards.

ClawHub Agent Skills author: mapufan v3.0.1 MIT-0 11 files body ≈ 732 tokens Open the sourceclawhub.ai analyzed 2 d ago

As a process F 59/100 · Will not run — References files that are not bundled: references/financial-items.md, references/api-integration.md

AnalyzerData 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%
76
Run on models
none yet
Process rating
F
59/100
Will not run
References files that are not bundled: references/financial-items.md, references/api-integration.md
Tools and files w 18
0
Progress reporting w 2
0
When it triggers w 12
20
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 missing-ref reference to a missing file: references/financial-items.md
  • warning missing-ref reference to a missing file: references/api-integration.md

Process rating: all ten parameters 59/100

Will not run. References files that are not bundled: references/financial-items.md, references/api-integration.md
  • 0Tools and files. 2 referenced file(s) missing: references/financial-items.md, references/api-integration.md
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 1 mutating operations with no state check
  • 60Result and completion. Output format stated, no completion criterion
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 100Steps. 21 steps
  • 100Failures and branches. 1 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 732 tokens
  • low The response is described with custom markup (5 tags): a typed call is more reliable

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)
  • -35 of 6 scripts are never mentioned in SKILL.md
  • +2Single-language instructions
  • +3Description length 536: enough signal without eating the budget
  • +4Structure: 19 headings
  • +3Step-by-step instructions: 21 items
  • +3Output format is stated explicitly
  • +4Has examples (7 code blocks)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 76.

External checks

ClawHub: clean
This skill appears to do the financial-report downloading, extraction, LLM analysis, and chart generation it advertises, with privacy and dependency-hygiene considerations users should understand.
LLM: benign (high) · VirusTotal: · 29 May 2026