SKILLEMALL.ai

AC outline-revision-annotator

Use when comparing a revised PDF outline, script, treatment, beat sheet, season map, or character bio against an older DOCX/PDF version and you need a high-signal change report plus visible PDF markup for structural additions or rewrites. 当需要对比新版 PDF 大纲、剧本、人物小传、季纲、分集梗概等与旧版 DOCX/PDF 版本,并生成只标注结构性新增或重写的高信号差异报告与可见 PDF 标注时使用;也用于 AI 刚改完这些内容后自动补一份新的对比标注版 PDF。

ClawHub Agent Skills author: 贺苏桓 v1.1.0 MIT-0 8 files body ≈ 1 357 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process C 57/100 · Has gaps — weak spots: result and completion, inputs and preconditions, running it twice

ProcedureWordData and analyticsInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
A
95/100
safety, quality, tests
Safety 60%
100
Quality 40%
88
Run on models
none yet
Process rating
C
57/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Progress reporting w 2
0
the three weakest of ten parameters · all ten

How to improve

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

    Against the Agent Skills spec

    ✓ No remarks against the Agent Skills spec

    Process rating: all ten parameters 57/100

    • 0Result and completion. Does not say what the result is
    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Progress reporting. Says nothing while it works
    • 30Running it twice. 2 mutating operations with no state check
    • 50When it triggers. No condition that starts the skill
    • 60Tools and files. Uses tools (python) that frontmatter does not declare
    • 100Steps. 83 steps
    • 100Failures and branches. 5 branches, has a failure section
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1357 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
    • +4Description does not say when NOT to use the skill (false activations)
    • +3Output format is not stated: the model decides each time
    • +4No input/output examples
    • +2Single-language instructions
    • +3Description length 354: enough signal without eating the budget
    • +4Structure: 19 headings
    • +3Step-by-step instructions: 83 items
    • +4Reference files are cited in the instructions (4 of 4)
    • +3All 1 scripts are documented
    • +1License stated

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 88.

    External checks

    ClawHub: clean
    This is a local document-comparison helper that reads user-chosen draft files and creates annotated comparison outputs, with no evidence of hidden network access or credential use.
    LLM: benign (high) · VirusTotal: · 29 May 2026