SKILLEMALL.ai

BF soft-copyright-writer

AI software copyright (ruanzhu) application assistant. Guides users through the full process: info collection, material checklist generation, source code formatting, design document authoring, application form guidance, and pre-submission verification. Covers individual/enterprise/joint applications with 2026 latest requirements. Triggers: soft copyright, software copyright, ruanzhu, copyright registration, IP protection for software.

ClawHub Claude Code author: bettermen v1.0.1 MIT-0 8 files body ≈ 931 tokens Open the sourceclawhub.ai analyzed 2 d ago

AI software copyright (ruanzhu) application assistant.

As a process F 35/100 · Will not run — References files that are not bundled: references/classification-codes.md, references/material-checklist.md, references/source-code-format.md

GeneratorSoftware developmenttype and topics are labelled automatically from the skill text
JSON
Technical rating
B
84/100
safety, quality, tests
Safety 60%
100
Quality 40%
59
Run on models
none yet
Process rating
F
35/100
Will not run
References files that are not bundled: references/classification-codes.md, references/material-checklist.md, references/source-code-format.md
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
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.
  2. 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: 0. 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")
  • warning missing-ref reference to a missing file: references/classification-codes.md
  • warning missing-ref reference to a missing file: references/material-checklist.md
  • warning missing-ref reference to a missing file: references/source-code-format.md
  • warning missing-ref reference to a missing file: references/design-doc-template.md
  • warning missing-ref reference to a missing file: references/application-form-guide.md
  • warning missing-ref reference to a missing file: references/common-rejections.md
  • note frontmatter-key unknown frontmatter key "description_zh"

Process rating: all ten parameters 35/100

Will not run. References files that are not bundled: references/classification-codes.md, references/material-checklist.md, references/source-code-format.md
  • 0Tools and files. 6 referenced file(s) missing: references/classification-codes.md, references/material-checklist.md, references/source-code-format.md
  • 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
  • 100Steps. 53 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 931 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 438: enough signal without eating the budget
  • +4Structure: 12 headings
  • +3Step-by-step instructions: 53 items
  • +4Has examples (3 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 59.

External checks

ClawHub: clean
This skill is a document-preparation helper for Chinese software copyright applications and does not show hidden execution, persistence, exfiltration, or destructive behavior.
LLM: benign (high) · VirusTotal: · 10 Jul 2026