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CD axiom-alerting

Create and manage Axiom monitors and notifiers via the v2 public API. Use when building alerting, routing notifications, validating monitor behavior, and maintaining alert configurations end-to-end.

openclaw/clawhub Agent Skills author: openclaw MIT 2 files body ≈ 2 047 tokens Open the sourcegithub.com↗ analyzed 6 d ago

Create and manage Axiom monitors and notifiers via the v2 public API.

As a process D 48/100 · Unfinished process — References files that are not bundled: scripts/setup, scripts/notifier-create

GeneratorSlackInfrastructureData and analyticsWriting and documentstype and topics are labelled automatically from the skill text
Runs in: 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) OpenClaw Goose OpenCode
JSON
Technical rating
C
89/100
safety, quality, tests
Safety 60%
99
Quality 40%
75
Run on models
none yet
Process rating
D
48/100
Unfinished process
References files that are not bundled: scripts/setup, scripts/notifier-create
Tools and files w 18
0
Result and completion w 14
0
Progress reporting w 2
0
the three weakest of ten parameters · all ten

How to improve

  1. The text references files that are not there: add them or drop the references.
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
  • low Exfiltration exfil-webhook-url SKILL.md:208
    Webhook / callback URL commonly used for exfiltration (verify the destination) (placeholder value)
    "slackUrl": "https://hooks.slack.com/services/T.../B.../XXX"
    placeholder

Files scanned: 2. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: scripts/setup
  • warning missing-ref reference to a missing file: scripts/notifier-create

Process rating: all ten parameters 48/100

Will not run. References files that are not bundled: scripts/setup, scripts/notifier-create
  • 0Tools and files. 2 referenced file(s) missing: scripts/setup, scripts/notifier-create
  • 0Result and completion. Does not say what the result is
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 50 mutating operations with no state check
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 85Steps. 95 steps, 1 vague phrases
  • 100Failures and branches. 1 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2047 tokens
  • low 11 top-level sections: this looks like several domains in one skill
  • low The response is described with custom markup (39 tags): a typed call is more reliable

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 198: enough signal without eating the budget
  • +4Structure: 14 headings
  • +3Step-by-step instructions: 95 items
  • +4Has examples (7 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 75.