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AC pathway-atlas

Use when 学生、家长或老师询问“这个分数能上哪个学校”、怎样看位次和冲稳保、有哪些升学路径、强基怎么走、综评怎么走，或需要中国高考选校、选专业、志愿填报及专项、公费师范、军警、港澳和中外合作规划；结合成绩、选科、兴趣和家庭条件，弄清值得准备的选择与下一步行动。

ClawHub Agent Skills author: Intangible technology v0.2.5 MIT-0 80 files body ≈ 1 636 tokens Open the sourceclawhub.ai↗ analyzed 10 h ago

Use when 学生、家长或老师询问“这个分数能上哪个学校”、怎样看位次和冲稳保、有哪些升学路径、强基怎么走、综评怎么走，或需要中国高考选校、选专业、志愿填报及专项、公费师范、军警、港澳和中外合作规划；结合成绩、选科、兴趣和家庭条件，弄清值得准备的选择与下一步行动。

As a process C 53/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureSoftware developmentData and analyticsAI and agentstype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
A
92/100
safety, quality, tests
Safety 60%
99
Quality 40%
82
Run on models
none yet
Process rating
C
53/100
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 · 1

    ✓ No critical or high findings

    Medium and low: 1
    • low Secrets in code secret-github-token docs/superpowers/plans/2026-08-22-04-open-source-release.md:205
      GitHub token (placeholder value)
      findings = scan_text("token=ghp_…456\n学生姓名：张三\n手机号：13800138000")
      placeholder

    Files scanned: 80. 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 53/100

    • 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
    • 100Tools and files. No external tools needed
    • 100Steps. 16 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1636 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
    • +4No input/output examples
    • -315 of 15 scripts are never mentioned in SKILL.md
    • +2Single-language instructions
    • +3Description length 134: enough signal without eating the budget
    • +4Structure: 7 headings
    • +3Step-by-step instructions: 16 items
    • +4Reference files are cited in the instructions (12 of 14)
    • +1License stated

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 82.

    External checks

    ClawHub: suspicious
    The skill is coherently built for education planning, but its install/update instructions and document parsing risks need review before use.
    LLM: suspicious (high) · 12 Sept 2026