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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 · 17 scripts body ≈ 2 468 tokens Open the sourceclawhub.ai↗ analyzed 7 d ago

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…

As a process C 58/100 · Has gaps — weak spots: result and completion, inputs and preconditions

GeneratorGitHubSlackAI and agentsSoftware 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
95/100
safety, quality, tests
Safety 60%
97
Quality 40%
93
Run on models
none yet
Process rating
C
58/100
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 58/100

    • 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
    • 65Failures and branches. 3 branches
    • 70When it triggers. States when to use, but not when not to
    • 85Steps. 52 steps, 3 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
    The skill is honestly aimed at creating scheduled automation, but it can set up recurring agents with broad permissions and includes unsafe examples that need careful review before use.
    LLM: suspicious (high) · VirusTotal: · 14 Sept 2026