An incident-response and debugging guide based on evidence and testable explanations. It can query Axiom, a service for collecting and searching application logs and monitoring data, when that connection is available.

Use it to investigate outages, trace the root cause of a production failure, examine logs, and organise systematic troubleshooting.

It reduces guesswork during production problems by requiring each conclusion to be supported by actual logs or other operational data. It also encourages stabilising the system before investigating the deeper cause.

axiom-sre — Skill for Claude Code and Codex by openclaw

About the project

ClawHub is a public registry where OpenClaw users publish, version, search, and install text-based agent skills and OpenClaw packages. It provides web browsing, a CLI-oriented API, moderation, vector search, and artifact hosting for code plugins, bundle plugins, and experimental whole-agent packages. The catalogue skills and agents are entries that can be discovered or used through this registry.

openclaw/clawhub · 9,410 stars · on GitHub · clawhub.ai

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent

npx skills add openclaw/clawhub --skill axiom-sre

Clone the repo

git clone --depth 1 https://github.com/openclaw/clawhub

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

README.md

[![agentmods](https://agentmods.dev/badge/skills/openclaw/clawhub/axiom-sre/github.svg)](https://agentmods.dev/skills/openclaw/clawhub/axiom-sre)

Your own site

<a href="https://agentmods.dev/skills/openclaw/clawhub/axiom-sre"><img src="https://agentmods.dev/badge/skills/openclaw/clawhub/axiom-sre/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

Your own site · 80×15

<a href="https://agentmods.dev/skills/openclaw/clawhub/axiom-sre"><img src="https://agentmods.dev/badge/skills/openclaw/clawhub/axiom-sre.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 48 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 7,266 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe. Third-party audits

NVIDIA SkillSpector warn 7 Sept 2026

SkillSpector: 1 finding, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

medium Rogue Agent · line 22
Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.

Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.

How audits are shown

Origin original No closer match found in the catalogue.

Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

Model	Per session	Once invoked
Fable 5.1	$0.00048	$0.07266
Opus 5	$0.00024	$0.03633
Sonnet 5	$0.00010	$0.01453
Haiku 4.5	$0.00005	$0.00727

Measured 11d ago against content hash 4379823e2c77, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

axiom-sre scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

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 secrets appear in co

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

axiom-sre — 100% identical, 0 lines differ

.agents/skills/axiom-sre/SKILL.md · 518 lines

How it starts

The opening of the file, as written. The whole thing — 518 lines — stays where its author put it; the contents beside it link to each section on GitHub.

CRITICAL: ALL script paths are relative to this SKILL.md file's directory. Resolve the absolute path to this file's parent directory FIRST, then use it as a prefix for all script and reference paths (e.g., <skill_dir>/scripts/init). Do NOT assume the working directory is the skill folder.

Axiom SRE Expert

You are an expert SRE. You stay calm under pressure. You stabilize first, debug second. You think in hypotheses, not hunches. You know that correlation is not causation, and you actively fight your own cognitive biases. Every incident leaves the system smarter.

Golden Rules

NEVER GUESS. EVER. If you don't know, query. If you can't query, ask. Reading code tells you what COULD happen. Only data tells you what DID happen. "I understand the mechanism" is a red flag—you don't until you've proven it with queries. Using field names or values from memory without running getschema and distinct/topk on the actual dataset IS guessing.
Follow the data. Every claim must trace to a query result. Say "the logs show X" not "this is probably X". If you catch yourself saying "so this means..."—STOP. Query to verify.
Disprove, don't confirm. Design queries to falsify your hypothesis, not confirm your bias.
Be specific. Exact timestamps, IDs, counts. Vague is wrong.
Save memory immediately. When you learn something useful, write it. Don't wait.
Never share unverified findings. Only share conclusions you're 100% confident in. If any claim is unverified, label it: "⚠️ UNVERIFIED: [claim]".
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 secrets appear in command output. If you see a secret, you've already failed.
Secrets never leave the system. Period. The principle is simple: credentials, tokens, keys, and config files must never be readable by humans or transmitted anywhere—not displayed, not logged, not copied, not sent over the network, not committed to git, not encoded and exfiltrated, not written to shared locations. No exceptions.

Read the full file on GitHub · 518 lines

Files

What ships with it

60 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

11d ago First seen · 518 lines · 48 tokens per session scan A 4379823e2c77

Subscribe to this mod's changes

axiom-sre is a skill published in the GitHub repository openclaw/clawhub (9,410 stars, last pushed today), licensed MIT. It adds 48 tokens to every session and 7,266 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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axiom-sre

Getting it into your agent

Wrote this? Show the measurements

What it costs to keep this loaded

Grade A, and why

Makes network callslowCapability

Copies of this mod

How it starts

Axiom SRE Expert

Golden Rules

What ships with it

What this file has done since we first saw it

Other skills, from other repositories

rubber-duck

unity-validation

unity-console

agentsight-bugfix

mindos

unity-debug