SKILLEMALL.ai

AC incident-response

Structured incident response for OpenClaw system failures. Use when a user reports something broken, missing, changed, or misbehaving — config loss, agent routing failures, binding changes, gateway crashes, missing settings, or any system regression. Follows a strict 7-phase loop: Triage → Evidence → 5 Whys → Restore → Prevent → Monitor → Document. Triggers on: "investigate", "why did X stop working", "something changed", "bindings lost", "gateway down", "gateway crashed", "setting disappeared", "something disappeared", "fix this", "who changed X", "root cause", "audit", "misconfigured", "agent not responding".

ClawHub Agent Skills author: Chunhua Liao v1.0.0 9 files body ≈ 1 726 tokens Open the sourceclawhub.ai analyzed 4 d ago

As a process C 57/100 · Has gaps — weak spots: result and completion, inputs and preconditions, running it twice

IntegrationInfrastructureAI and agentsData and analyticstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
93/100
safety, quality, tests
Safety 60%
100
Quality 40%
82
Run on models
none yet
Process rating
C
57/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Running it twice w 4
30
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: 8. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • warning frontmatter-yaml SKILL.md: the frontmatter is not valid YAML (YAML parse error: Nested mappings are not allowed in compact mappings at line 3, column 14: description: Structured incident response for OpenClaw system failures. Use whe… ^ ); fields were read line by line. The usual cause is a colon inside an unquoted value
    • note frontmatter-key unknown frontmatter key "owner_agent"

    Process rating: all ten parameters 57/100

    • 0Result and completion. Does not say what the result is
    • 0Inputs and preconditions. Does not say what the process needs to start
    • 30Running it twice. 4 mutating operations with no state check
    • 55Failures and branches. 1 branches
    • 60Tools and files. Uses tools (git) that frontmatter does not declare
    • 70When it triggers. States when to use, but not when not to
    • 100Steps. 12 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1726 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

    • +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 13 example trigger phrases
    • +3Description length 618: enough signal without eating the budget
    • +4Structure: 14 headings
    • +3Step-by-step instructions: 12 items
    • +4Has examples (9 code blocks)
    • +4Reference files are cited in the instructions (3 of 3)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 82.

    External checks

    ClawHub: suspicious
    This is a legitimate incident-response skill, but it can run powerful remote recovery and persistent monitoring actions without enough built-in confirmation or scoping.
    LLM: suspicious (high) · VirusTotal: · 29 May 2026