SKILLEMALL.ai

AC openapi-contract-driven

OpenAPI Contract-Driven Development workflow for multi-agent teams. Solves the systemic defect of "frontend invents endpoints, backend forgets to implement" in multi-agent collaboration. Use when: (1) starting a new project or standardizing API collaboration, (2) frequently seeing "blank page / 500 / 502" with no clear root cause, (3) need to establish API contract system across human/AI agent teams. OpenAPI 契约驱动开发工作流。解决多 Agent 协作中「前端自造端点,后端漏实现」 这个系统性缺陷。Use when: (1) 新项目启动或已有项目需要规范 API 协作, (2) 频繁出现"页面空白 / 500 / 502"但找不到根因, (3) 需要在多人/AI agent 团队中建立 API 契约体系。 NOT for: 单人项目、临时脚本、非 REST API 项目。

ClawHub Agent Skills author: kmpanda011172 v1.1.0 MIT-0 14 files · 2 scripts body ≈ 1 306 tokens Open the sourceclawhub.ai analyzed 28 h ago

OpenAPI Contract-Driven Development workflow for multi-agent teams.

As a process C 50/100 · Has gaps — weak spots: result and completion, inputs and preconditions, failures and branches

ProcedureGitHubAzureAI and agentsSoftware developmenttype and topics are labelled automatically from the skill text
JSON
Technical rating
A
99/100
safety, quality, tests
Safety 60%
100
Quality 40%
97
Run on models
none yet
Process rating
C
50/100
Has gaps
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

    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: 14. 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 50/100

    • 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
    • 50When it triggers. No condition that starts the skill
    • 60Tools and files. Uses tools (bash, web) that frontmatter does not declare
    • 100Steps. 10 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1306 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

    • +3Output format is not stated: the model decides each time
    • +1No license
    • +2Single-language instructions
    • +5Description quotes 3 example trigger phrases
    • +4Description says when NOT to use the skill
    • +3Description length 597: enough signal without eating the budget
    • +4Structure: 17 headings
    • +3Step-by-step instructions: 10 items
    • +4Has examples (8 code blocks)
    • +4Reference files are cited in the instructions (1 of 1)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 97.

    External checks

    ClawHub: suspicious
    The reviewed file is a non-executable coding-workflow skill, but the surrounding listing metadata describes a crypto token launchpad with wallet and transaction-related capabilities, so it should be reviewed before install.
    LLM: suspicious (medium) · VirusTotal: · 8 Jun 2026