SKILLEMALL.ai

AD tencentcloud-ocr-generalaccurate

腾讯云通用文字识别(高精度版)(GeneralAccurateOCR) 技能包。支持图像整体文字的检测和识别,支持中文、英文、中英文、数字和特殊字符号的识别,并返回文字框位置和文字内容。适用于文字较多、版式复杂、对识别准召率要求较高的场景,如网络图片、街景店招牌、法律卷宗、多语种简历等场景。支持图片Base64和URL两种输入方式,同时支持PDF文件识别和单字信息返回。对于简历识别场景,提供专门的结构化解析指引(详见 references/resume-parsing.md)。

ClawHub Agent Skills author: tencent-ocr v1.0.1 MIT-0 4 files body ≈ 689 tokens Open the sourceclawhub.ai analyzed 2 d ago

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

ReferenceAI and agentsPeople and hiringtype 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: 4. 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 (python) that frontmatter does not declare
  • 100Steps. 18 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 689 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 241: enough signal without eating the budget
  • +4Structure: 15 headings
  • +3Step-by-step instructions: 18 items
  • +4Has examples (5 code blocks)
  • +4Reference files are cited in the instructions (1 of 1)
  • +3All 1 scripts are documented

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

External checks

ClawHub: clean
This is a coherent Tencent Cloud OCR skill, but users should understand that documents and resume contents may be sent to Tencent Cloud and shown back with personal details.
LLM: benign (high) · 28 May 2026