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CD axiom-sre

Expert SRE investigator for incidents and debugging. Uses hypothesis-driven methodology and systematic triage. Can query Axiom observability when available. Use for incident response, root cause analysis, production debugging, or log investigation.

openclaw/clawhub Agent Skills author: openclaw MIT 25 files body ≈ 7 049 tokens Open the sourcegithub.com↗ analyzed 6 d ago

Expert SRE investigator for incidents and debugging.

As a process D 49/100 · Unfinished process — References files that are not bundled: scripts/curl-auth, scripts/init, scripts/discover-*

AnalyzerSlackGitHubKubernetesInfrastructureSoftware developmenttype 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
86/100
safety, quality, tests
Safety 60%
99
Quality 40%
66
Run on models
none yet
Process rating
D
49/100
Unfinished process
References files that are not bundled: scripts/curl-auth, scripts/init, scripts/discover-*
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
0
the three weakest of ten parameters · all ten

How to improve

  1. The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
  2. 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 net-credential-use SKILL.md:26
    Credential used in a network call (verify the destination is the intended service) (quoted — discussed, not commanded)
    7. **NEVER expose secrets in commands.** Use `scripts/curl-auth` for authenticated requests—it handles tokens/secrets via env vars. NEVER run `curl -H "Authorization: Bearer $TOKEN"` or similar where
    quoted

Files scanned: 25. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning body-long SKILL.md body ≈ 7049 tokens (recommended < 5000); move details to references/
  • warning missing-ref reference to a missing file: scripts/curl-auth
  • warning missing-ref reference to a missing file: scripts/init
  • warning missing-ref reference to a missing file: scripts/discover-*
  • warning missing-ref reference to a missing file: scripts/axiom-query
  • warning missing-ref reference to a missing file: scripts/grafana-query
  • warning missing-ref reference to a missing file: scripts/pyroscope-diff
  • warning missing-ref reference to a missing file: scripts/discover-k8s
  • warning missing-ref reference to a missing file: scripts/discover-axiom
  • warning missing-ref reference to a missing file: scripts/discover-grafana
  • warning missing-ref reference to a missing file: scripts/discover-<tool>
  • warning missing-ref reference to a missing file: scripts/axiom-metrics-discover
  • warning missing-ref reference to a missing file: scripts/grafana-alerts
  • warning missing-ref reference to a missing file: scripts/grafana-dashboards
  • warning missing-ref reference to a missing file: scripts/axiom-metrics-query
  • warning missing-ref reference to a missing file: scripts/mem-write
  • warning missing-ref reference to a missing file: scripts/sleep
  • warning missing-ref reference to a missing file: scripts/axiom-link
  • warning missing-ref reference to a missing file: scripts/grafana-link
  • warning missing-ref reference to a missing file: scripts/pyroscope-link
  • warning missing-ref reference to a missing file: scripts/sentry-link

Process rating: all ten parameters 49/100

Will not run. References files that are not bundled: scripts/curl-auth, scripts/init, scripts/discover-*
  • 0Tools and files. 20 referenced file(s) missing: scripts/curl-auth, scripts/init, scripts/discover-*
  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 50When it triggers. No condition that starts the skill
  • 70Execution cost. Instruction body is 7049 tokens
  • 100Steps. 119 steps
  • 100Failures and branches. 5 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • 100Running it twice. Mutating operations check current state
  • 100Progress reporting. Reports progress
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low 18 top-level sections: this looks like several domains in one skill
  • low The response is described with custom markup (11 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 248: enough signal without eating the budget
  • +4Structure: 41 headings
  • +3Step-by-step instructions: 119 items
  • +4Has examples (18 code blocks)
  • +4Reference files are cited in the instructions (13 of 17)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 66.