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BB lineage-skill

Turn courses, books, video, audio, PDFs, slides, transcripts, OCR, notes, and long-form materials into source-grounded learning Skills that explain, demonstrate, ask the learner to try first, give focused feedback, schedule review, test transfer, and support independent work. Also use for CoursePackage migration, teacher-method extraction, learning paths, practice and assessment libraries, private learner-state workflows, reusable personal methods, and graduation evaluation.

ClawHub Agent Skills author: JuneYaooo v0.1.0 MIT-0 80 files · 1 script body ≈ 3 025 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

Turn courses, books, video, audio, PDFs, slides, transcripts, OCR, notes, and long-form materials into source-grounded learning Skills that explain…

As a process B 65/100 · Nearly there — weak spots: result and completion, when it triggers, running it twice

ProcedureLearningSoftware 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
B
85/100
safety, quality, tests
Safety 60%
84
Quality 40%
86
Run on models
none yet
Process rating
B
65/100
Nearly there
Result and completion w 14
0
When it triggers w 12
20
Running it twice w 4
30
the three weakest of ten parameters · all ten

What is at stake

Medium-severity findings: the skill is probably honest, but read what alarmed the scanner.

Exfiltration medium severity

Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.

If you install

The instructions or scripts send data out: environment variables, keys, file contents, chat history. You may never notice, because the agent performs the upload as "part of the task".

For the author

If the upload is not needed for the task, remove it: catalogs flag such skills and delist them. If it is needed, name the destination explicitly, say what leaves the machine, and give the user a switch.

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 · 4

    ✓ No critical or high findings

    Medium and low: 4
    • medium Exfiltration net-redirectable-api-key scripts/llm_client.py:62
      Helper sends the API key to a host configured by an environment variable — the key can be redirected to another server
      API key + configurable base URL from environment
    • medium Exfiltration net-redirectable-api-key scripts/parse_mineru_documents.py:199
      Helper sends the API key to a host configured by an environment variable — the key can be redirected to another server
      API key + configurable base URL from environment
    • medium Exfiltration net-redirectable-api-key scripts/transcribe_video.py:22
      Helper sends the API key to a host configured by an environment variable — the key can be redirected to another server
      API key + configurable base URL from environment
    • low Exfiltration read-dotenv install_as_skill.sh:186
      Reads a .env file (quoted — discussed, not commanded)
      print_info "For standalone script fallback, copy .env.example to a private .env in the skill directory."
      quoted

    Files scanned: 69. 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 65/100

    • 0Result and completion. Does not say what the result is
    • 20When it triggers. No condition that starts the skill
    • 30Running it twice. 4 mutating operations with no state check
    • 50Failures and branches. 0 branches, has a failure section
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 100Tools and files. No external tools needed
    • 100Steps. 62 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 3025 tokens
    • 100Progress reporting. Reports progress
    • low 14 top-level sections: this looks like several domains in one skill

    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
    • -323 of 37 scripts are never mentioned in SKILL.md
    • +2Single-language instructions
    • +3Description length 479: enough signal without eating the budget
    • +4Structure: 15 headings
    • +3Step-by-step instructions: 62 items
    • +4Has examples (8 code blocks)
    • +4Reference files are cited in the instructions (6 of 7)
    • +1License stated

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 86.

    External checks

    ClawHub: suspicious
    The skill’s course-processing behavior is mostly coherent, but its installer handles existing API-key .env files through an unsafe predictable /tmp backup path, so it needs review before installation.
    LLM: suspicious (high) · 22 Jul 2026