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AC obsidian-clipper

Universal web clipper for Obsidian Vault. Saves content from X/Twitter, WeChat, Douyin, Xiaohongshu, GitHub, and generic web pages. Triggers when user sends a URL and asks to save/clip/收藏, or says '存下来'.

ClawHub Agent Skills author: zGissing v1.0.0 MIT-0 4 files · 1 script body ≈ 3 601 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process C 54/100 · Has gaps — weak spots: result and completion, inputs and preconditions, consistency

ProcedureObsidianGitHubInfrastructuretype 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
93/100
safety, quality, tests
Safety 60%
99
Quality 40%
84
Run on models
none yet
Process rating
C
54/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Running it twice w 4
30
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 Dangerous commands cmd-pipe-to-shell-known-host setup.sh:7
      Pipe-to-shell installer from a well-known host (still executes remote code) (code comment)
      #   curl -fsSL https://raw.githubusercontent.com/Gisg/obsidian-clipper/main/setup.sh | bash
      comment

    Files scanned: 4. 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 54/100

    • 0Result and completion. Does not say what the result is
    • 0Inputs and preconditions. Does not say what the process needs to start
    • 30Running it twice. 9 mutating operations with no state check
    • 40Consistency. Frontmatter name (obsidian-clipper) differs from the folder (clip-to-your-vault)
    • 60Tools and files. Uses tools (bash, web, python, node) that frontmatter does not declare
    • 70When it triggers. States when to use, but not when not to
    • 85Steps. 61 steps, 1 vague phrases
    • 100Failures and branches. 9 branches, has a failure section
    • 100Execution cost. Instruction body is 3601 tokens
    • 100Progress reporting. Reports progress

    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
    • +1No license
    • +2Single-language instructions
    • +3Description length 203: enough signal without eating the budget
    • +4Structure: 45 headings
    • +3Step-by-step instructions: 61 items
    • +4Has examples (20 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 84.

    External checks

    ClawHub: suspicious
    The core Obsidian web clipper is understandable, but optional browser-session and third-party downloader paths give it sensitive, under-scoped access.
    LLM: suspicious (medium) · VirusTotal: · 29 May 2026