SKILLEMALL.ai

AD reorganize-logic

Rebuild a project's DESIGN-CONTRACT layer when docs have rotted past sync: re-derive architecture + structure + interface contracts from code, gate-verified. Use-when: "rebuild the contracts from scratch", "从代码重新推导契约", "$reorganize-logic". Do-NOT use for doc sync / cleanup (this REBUILDS and deletes legacy) → neat.

ClawHub Agent Skills author: VincentJiang06 v0.3.4 MIT-0 13 files · 3 scripts body ≈ 2 000 tokens Open the sourceclawhub.ai↗ analyzed 14 d ago

Rebuild a project's DESIGN-CONTRACT layer when docs have rotted past sync: re-derive architecture + structure + interface contracts from code, gate-verified.

As a process D 48/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

AnalyzerSoftware developmenttype and topics are labelled automatically from the skill text
JSON
Technical rating
A
98/100
safety, quality, tests
Safety 60%
100
Quality 40%
96
Run on models
none yet
Process rating
D
48/100
Unfinished process
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: 13. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • note edit-residue the text marks something as outdated (lines 7, 9, 14, 23, 40, 47): check that old rules are not kept next to new ones — the full check reads the text for contradictions

    Process rating: all ten parameters 48/100

    • 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
    • 20When it triggers. No condition that starts the skill
    • 30Running it twice. 6 mutating operations with no state check
    • 50Failures and branches. 0 branches, has a failure section
    • 60Tools and files. Uses tools (node) that frontmatter does not declare
    • 100Steps. 24 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 2000 tokens
    • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
    • low The response is described with custom markup (3 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

    • +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
    • +5Description quotes 3 example trigger phrases
    • +3Description length 316: enough signal without eating the budget
    • +4Structure: 8 headings
    • +3Step-by-step instructions: 24 items
    • +4Has examples (1 code blocks)
    • +4Reference files are cited in the instructions (3 of 3)
    • +3All 1 scripts are documented

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 96.

    External checks

    ClawHub: clean
    This is a disclosed documentation-rebuild skill with a local verification gate; its broad project reading and doc-writing are purpose-aligned and no hidden deletion, exfiltration, or persistence was found.
    LLM: benign (high) · VirusTotal: · 28 Sept 2026