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AC gateway-resume

Reliably resume work after `openclaw gateway restart` (or when you must restart the OpenClaw gateway mid-task). Uses durable one-shot cron `agentTurn` jobs (isolated session + explicit delivery) so the agent comes back after restart and replies to the same chat (Discord/Telegram/etc), usually with the same model/thinking as the requesting session. Use when: user asks for a gateway restart; you need to restart to apply config/updates; or you must ensure a post-restart follow-up message happens automatically.

ClawHub Agent Skills author: Bobby Lindsey v1.0.0 MIT-0 4 files · 2 scripts body ≈ 1 104 tokens Open the sourceclawhub.ai↗ analyzed 4 d ago

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

IntegrationDiscordTelegramAI and agentsInfrastructuretype 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%
100
Quality 40%
87
Run on models
none yet
Process rating
C
58/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
When it triggers w 12
20
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 · 0

    ✓ No critical or high findings

    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 58/100

    • 0Result and completion. Does not say what the result is
    • 0Inputs and preconditions. Does not say what the process needs to start
    • 20When it triggers. No condition that starts the skill
    • 30Running it twice. 5 mutating operations with no state check
    • 40Consistency. Frontmatter name (gateway-resume) differs from the folder (resume-after-gateway-restart)
    • 100Tools and files. No external tools needed
    • 100Steps. 32 steps
    • 100Failures and branches. 2 branches, has a failure section
    • 100Execution cost. Instruction body is 1104 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 512: enough signal without eating the budget
    • +4Structure: 10 headings
    • +3Step-by-step instructions: 32 items
    • +4Has examples (3 code blocks)
    • +3All 2 scripts are documented

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 87.

    External checks

    ClawHub: clean
    The skill appears to schedule a local OpenClaw resume workflow, with minor disclosure gaps but no artifact-backed malicious behavior.
    LLM: benign (medium) · VirusTotal: · 29 May 2026