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CD obsidian-inbox-pipeline

将任意来源（AI 资讯、经济雷达、旅游日报、RSS、文章）自动采集、 结构化写入 Obsidian inbox 的完整流水线。支持 Telegram / 飞书推送 和 cron 定时执行。一套配置，永久自动沉淀知识。

ClawHub Agent Skills author: simo v1.0.1 MIT-0 7 files · 5 scripts body ≈ 949 tokens Open the sourceclawhub.ai↗ analyzed 6 d ago

将任意来源（AI 资讯、经济雷达、旅游日报、RSS、文章）自动采集、 结构化写入 Obsidian inbox 的完整流水线。支持 Telegram / 飞书推送 和 cron 定时执行。一套配置，永久自动沉淀知识。

As a process D 46/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureObsidianTelegramInfrastructuretype 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
C
87/100
safety, quality, tests
Safety 60%
97
Quality 40%
72
Run on models
none yet
Process rating
D
46/100
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

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
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 · 3

✓ No critical or high findings

Medium and low: 3
  • low Exfiltration exfil-webhook-url scripts/daily_pipeline.sh:92
    Webhook / callback URL commonly used for exfiltration (verify the destination) (the skill's own vendor host; quoted — discussed, not commanded)
    f"https://api.telegram.org/bot{token}/sendMessage",
    vendor-hostquoted
  • low Exfiltration read-dotenv SKILL.md:31
    Reads a .env file
    cp references/.env.example .env
  • low Exfiltration read-dotenv SKILL.md:156
    Reads a .env file
    source /path/to/.env && \

Files scanned: 7. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description does not say WHEN to use the skill (no "use when")

Process rating: all ten parameters 46/100

  • 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
  • 60Tools and files. Uses tools (python, node) that frontmatter does not declare
  • 100Steps. 5 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 949 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)
  • +3Description length 108: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +4Structure: 14 headings
  • +3Step-by-step instructions: 5 items
  • +4Has examples (9 code blocks)
  • +3All 1 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 72.

External checks

ClawHub: suspicious
This Obsidian automation skill is not clearly malicious, but it needs review because it can run other local scripts, write/read vault files, and send content externally with weak scoping controls.
LLM: suspicious (high) · VirusTotal: benign · 14 Sept 2026