SKILLEMALL.ai
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AD treehole

PKU Treehole (北大树洞) anonymous forum CLI tool built in Rust. Use this skill when working on the treehole crate, debugging treehole commands, adding features to the treehole CLI, understanding the treehole API, or when the user mentions 树洞, treehole, anonymous posts, tree leaves (树叶), or PKU forum. Also use when dealing with IAAA login flow for treehole, JWT callback, SMS verification, or treehole REST API endpoints. **Also use whenever the user asks about their course schedule / 课表 / 这学期上什么课 / weekly schedule / academic calendar / 本周日程 — the treehole API exposes these via `treehole course`, `treehole schedule`, `treehole academic-cal`, `treehole activity-cal`, and they are the canonical source. Do NOT use the `course` (Blackboard) or `elective` crate to answer schedule questions — `course` is for teaching-platform content (assignments/files) and `elective` only sees the major program (misses 辅修/双学位).

ClawHub Agent Skills author: wjsoj v1.1.0 MIT-0 2 files body ≈ 653 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process D 48/100 · Unfinished process — weak spots: result and completion, inputs and preconditions, failures and branches

IntegrationLearningSoftware developmenttype 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
94/100
safety, quality, tests
Safety 60%
100
Quality 40%
85
Run on models
none yet
Process rating
D
48/100
Unfinished process
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: 2. 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 48/100

    • 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
    • 30Running it twice. 2 mutating operations with no state check
    • 40Consistency. Frontmatter name (treehole) differs from the folder (pku-treehole)
    • 60Tools and files. Uses tools (bash) that frontmatter does not declare
    • 100Steps. 15 steps
    • 100When it triggers. States when to use and when not to
    • 100Execution cost. Instruction body is 653 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
    • +3Description length 912: 120–800 characters recommended
    • +3Output format is not stated: the model decides each time
    • +1No license
    • +2Single-language instructions
    • +4Description says when NOT to use the skill
    • +4Structure: 6 headings
    • +3Step-by-step instructions: 15 items
    • +4Has examples (1 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 85.

    External checks

    ClawHub: suspicious
    This instruction-only Treehole skill is coherent, but it gives agents broad authenticated PKU account access without clear consent boundaries.
    LLM: suspicious (high) · VirusTotal: · 29 May 2026