SKILLEMALL.ai

AC openclaw-ops

Diagnose and prevent OpenClaw agent failures — session bloat, lane deadlocks, bootstrap truncation, auth errors, compaction timeouts, and more. Use this skill whenever an OpenClaw agent stops responding, runs slowly, fails to process messages, throws gateway errors, or needs operational health checks. Also use when setting up cron jobs, configuring multi-model failover, or planning AGENTS.md changes. Trigger on: 'agent not responding', 'openclaw health', 'gateway errors', 'session stuck', 'cron not working', 'bootstrap too big', 'compaction timeout', 'auth failed', 'rate limited', or any OpenClaw troubleshooting request.

ClawHub Agent Skills author: Don Zurbrick v1.0.0 MIT-0 9 files · 2 scripts body ≈ 2 449 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, consistency

AnalyzerAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
93/100
safety, quality, tests
Safety 60%
95
Quality 40%
91
Run on models
none yet
Process rating
C
59/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Consistency w 8
40
the three weakest of ten parameters · all ten

What is at stake

Medium-severity findings: the skill is probably honest, but read what alarmed the scanner.

Dangerous commands medium severity

Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.

If you install

The skill contains commands that delete files, rewrite disks or execute code fetched from the network. The agent may run them without asking if it believes the instructions require it.

For the author

Replace destructive commands with safe equivalents that ask for confirmation, scope them to one folder, and stop piping curl into a shell: pin a version and a checksum.

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
    • medium Dangerous commands cmd-persistence references/failure-patterns.md:271
      Persistence mechanism (cron / launchd / scheduled task / autorun registry) (quoted — discussed, not commanded)
      3. If launchd is stuck: `launchctl bootout gui/$(id -u)/ai.openclaw.gateway && launchctl bootstrap gui/$(id -u) ~/Library/LaunchAgents/ai.openclaw.gateway.plist`
      quoted

    Files scanned: 6. 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
    • 40Consistency. Frontmatter name (openclaw-ops) differs from the folder (openclaw-operator)
    • 60Tools and files. Uses tools (bash) that frontmatter does not declare
    • 60Failures and branches. 2 branches
    • 100Steps. 25 steps
    • 100When it triggers. States when to use and when not to
    • 100Execution cost. Instruction body is 2449 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

    • +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 628: enough signal without eating the budget
    • +4Structure: 17 headings
    • +3Step-by-step instructions: 25 items
    • +4Has examples (6 code blocks)
    • +4Reference files are cited in the instructions (2 of 2)
    • +3All 2 scripts are documented

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 91.

    External checks

    ClawHub: clean
    This skill is a disclosed OpenClaw troubleshooting tool that reads local OpenClaw operational files and can optionally run a recurring health check, with no evidence of hidden or malicious behavior.
    LLM: benign (high) · VirusTotal: · 29 May 2026