SKILLEMALL.ai

AD financial-statement-check

企业财报三表(资产负债表 / 利润表 / 纳税申报表)勾稽检查技能包。当用户上传财报PDF/图片、或要求进行财报审核、三表勾稽校验时,应自动调用此技能。支持从财报PDF/图片中结构化抽取三表关键数据,自动统一单位(万元)与币种(必要时按实时汇率折算为CNY),执行时间一致性/字段完整性/核心税会差异/跨表校验,并按规则输出标准审核报告。适用于银行信贷审批、企业财报初审、财务尽调等场景。

ClawHub Agent Skills author: tencent-ocr v1.0.0 MIT-0 5 files body ≈ 1 911 tokens Open the sourceclawhub.ai analyzed 33 h ago

企业财报三表(资产负债表 / 利润表 /…

As a process D 46/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureSoftware developmentData and analyticsFinancetype and topics are labelled automatically from the skill text
JSON
Technical rating
A
92/100
safety, quality, tests
Safety 60%
100
Quality 40%
79
Run on models
none yet
Process rating
D
46/100
Unfinished process
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
0
the three weakest of ten parameters · all ten

How to improve

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
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: 5. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description does not say WHEN to use the skill (no "use when")

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
  • 60Tools and files. Uses tools (bash, python) that frontmatter does not declare
  • 100Steps. 29 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1911 tokens
  • 100Running it twice. No mutating operations

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
  • +1No license
  • +2Single-language instructions
  • +3Description length 194: enough signal without eating the budget
  • +4Structure: 21 headings
  • +3Step-by-step instructions: 29 items
  • +4Has examples (8 code blocks)
  • +4Reference files are cited in the instructions (2 of 2)
  • +3All 1 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 79.

External checks

ClawHub: suspicious
The skill is built for financial statement OCR and reconciliation, but it can automatically send sensitive financial and tax documents to Tencent Cloud without a clear consent gate.
LLM: suspicious (high) · 28 May 2026