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AC heartbeat-cron

Create and refine HEARTBEAT.md files for murmur — a CLI daemon that runs scheduled Claude prompts on a cron or interval schedule. Use this skill when the user wants to set up a recurring automated action (e.g., "monitor my GitHub issues", "check Hacker News for AI articles", "watch my endpoints", "send me a daily digest"). Guides the user through an interview, drafts the heartbeat prompt, tests it, and registers it with murmur's scheduler. Triggers: heartbeat, murmur, recurring task, scheduled action, cron, monitor, watch, automate, periodic check, scheduled prompt.

ClawHub Agent Skills author: wyblhl v0.4.4 MIT-0 38 files body ≈ 2 468 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process C 59/100 · Has gaps — weak spots: result and completion, inputs and preconditions

GeneratorGitHubAI 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
95/100
safety, quality, tests
Safety 60%
97
Quality 40%
93
Run on models
none yet
Process rating
C
59/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Tools and files w 18
60
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 · 3

    ✓ No critical or high findings

    Medium and low: 3
    • low Exfiltration exfil-webhook-url references/examples.md:12
      Webhook / callback URL commonly used for exfiltration (verify the destination) (placeholder value)
      - **Telegram bot**: `curl -s "https://api.telegram.org/bot$TELEGRAM_TOKEN/sendMessage" -d "chat_id=$CHAT_ID&text=..."`
      placeholder
    • low Exfiltration net-credential-use references/examples.md:12
      Credential used in a network call (verify the destination is the intended service) (test fixture / example file; quoted — discussed, not commanded)
      - **Telegram bot**: `curl -s "https://api.telegram.org/bot$TELEGRAM_TOKEN/sendMessage" -d "chat_id=$CHAT_ID&text=..."`
      fixturequoted
    • low Exfiltration exfil-webhook-url references/examples.md:88
      Webhook / callback URL commonly used for exfiltration (verify the destination) (test fixture / example file; quoted — discussed, not commanded)
      - Send a Telegram message: `curl -s "https://api.telegram.org/bot{token}/sendMessage" -d "chat_id={id}&text=PR #{number} needs review: {title}"`
      fixturequoted

    Files scanned: 3. 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 59/100

    • 0Result and completion. Does not say what the result is
    • 0Inputs and preconditions. Does not say what the process needs to start
    • 60Tools and files. Uses tools (bash, web) that frontmatter does not declare
    • 70When it triggers. States when to use, but not when not to
    • 70Failures and branches. 8 branches
    • 85Steps. 52 steps, 2 vague phrases
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 2468 tokens
    • 100Running it twice. Mutating operations check current state
    • 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

    • +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
    • +5Description quotes 4 example trigger phrases
    • +3Description length 572: enough signal without eating the budget
    • +4Structure: 11 headings
    • +3Step-by-step instructions: 52 items
    • +4Has examples (7 code blocks)
    • +4Reference files are cited in the instructions (1 of 1)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 93.

    External checks

    ClawHub: suspicious
    This skill is coherent, but it helps set up recurring agents that can run commands, mutate accounts, send data externally, and includes an unsafe Docker cleanup example.
    LLM: suspicious (high) · VirusTotal: · 29 May 2026