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.
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.
npx skills add openclaw/clawhub --skill axiom-alertinggit clone --depth 1 https://github.com/openclaw/clawhubWrote 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.
[](https://agentmods.dev/skills/openclaw/clawhub/axiom-alerting)<a href="https://agentmods.dev/skills/openclaw/clawhub/axiom-alerting"><img src="https://agentmods.dev/badge/skills/openclaw/clawhub/axiom-alerting/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.
<a href="https://agentmods.dev/skills/openclaw/clawhub/axiom-alerting"><img src="https://agentmods.dev/badge/skills/openclaw/clawhub/axiom-alerting.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 3 findings, 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 3 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.
- medium Data Exfiltration · line 12 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
- medium Data Exfiltration · line 221 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
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 | $0.00042 | $0.02197 |
| Opus 5 | $0.00021 | $0.01099 |
| Sonnet 5 | $0.00008 | $0.00439 |
| Haiku 4.5 | $0.00004 | $0.00220 |
Grade A, and why
axiom-alerting scanned grade A with 0 findings 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 10d 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.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
Copies of this mod
1 near-identical copy found in the catalogue:
- axiom-alerting — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 292 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Axiom Alerting
You manage alerting in Axiom end-to-end: notifiers for routing and monitors for detection.
API Overview
Base URL: https://api.axiom.co/v2/ with Bearer token auth from .axiom.toml (project root or ~/.axiom.toml).
Monitors (/v2/monitors)
| Operation | Method | Path |
|---|---|---|
| List | GET | /v2/monitors |
| Get | GET | /v2/monitors/{id} |
| History | GET | /v2/monitors/{id}/history |
| Create | POST | /v2/monitors |
| Update | PUT | /v2/monitors/{id} |
| Delete | DELETE | /v2/monitors/{id} |
Notifiers (/v2/notifiers)
| Operation | Method | Path |
|---|---|---|
| List | GET | /v2/notifiers |
| Get | GET | /v2/notifiers/{id} |
| Create | POST | /v2/notifiers |
| Update | PUT | /v2/notifiers/{id} |
| Delete | DELETE | /v2/notifiers/{id} |
Prerequisites
- Run
scripts/setup - Ensure
.axiom.tomlhas a deployment:
[deployments.prod]
url = "https://api.axiom.co"
token = "xaat-your-token"
org_id = "your-org-id"
Scripts
Core:
scripts/axiom-api <deploy> <method> <path> [body]
Monitor scripts:
scripts/monitor-list <deployment> [--json]scripts/monitor-get <deployment> <id>scripts/monitor-history <deployment> <id> <startTime> <endTime>scripts/monitor-create <deployment> <json-file>scripts/monitor-update <deployment> <id> <json-file>scripts/monitor-delete <deployment> <id>
Notifier scripts:
scripts/notifier-list <deployment> [--json]scripts/notifier-get <deployment> <id>scripts/notifier-create <deployment> <json-file>scripts/notifier-update <deployment> <id> <json-file>scripts/notifier-delete <deployment> <id>
Recommended Workflow
- Create notifier first.
- Create monitor and set
notifierIds. - Validate monitor behavior with
monitor-history. - Iterate monitor thresholds and schedule.
Workflow: End-To-End Alerting
- Run
scripts/setup. - List existing notifiers with
scripts/notifier-list <deployment>and reuse one if appropriate. - If no suitable notifier exists, create one with
scripts/notifier-create. - Create or update the monitor with
notifierIdsattached. - Validate with
scripts/monitor-history <deployment> <id> <startTime> <endTime>. - If behavior is noisy or silent, tune
threshold,rangeMinutes,intervalMinutes, and N-of-M trigger fields. - Re-check history after each change.
What ships with it
15 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.
- .meta/.gitkeep 0 B
- README.md 1.9 KB
- scripts/axiom-api 1.4 KB
- scripts/monitor-create 334 B
- scripts/monitor-delete 438 B
- scripts/monitor-get 293 B
- scripts/monitor-history 536 B
- scripts/monitor-list 440 B
- scripts/monitor-update 366 B
- scripts/notifier-create 336 B
- scripts/notifier-delete 441 B
- scripts/notifier-get 295 B
- scripts/notifier-list 434 B
- scripts/notifier-update 368 B
- scripts/setup 1.5 KB
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.
- 10d ago First seen · 292 lines · 42 tokens per session scan A 714cc41bd9fd
axiom-alerting is a skill published in the GitHub repository openclaw/clawhub (9,407 stars, last pushed today), licensed MIT. It adds 42 tokens to every session and 2,197 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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