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 dinglebear-ai/axon --skill axon-snippetsgit clone --depth 1 https://github.com/dinglebear-ai/axonWrote 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/dinglebear-ai/axon/axon-snippets)<a href="https://agentmods.dev/skills/dinglebear-ai/axon/axon-snippets"><img src="https://agentmods.dev/badge/skills/dinglebear-ai/axon/axon-snippets/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/dinglebear-ai/axon/axon-snippets"><img src="https://agentmods.dev/badge/skills/dinglebear-ai/axon/axon-snippets.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00045 | $0.01498 |
| Opus 5.5 | $0.00018 | $0.00599 |
| Sonnet 5.5 | $0.00009 | $0.00300 |
| Haiku 4.5 | $0.00005 | $0.00150 |
Grade A, and why
axon-snippets 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 16d 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.
The source is not reproduced here
Licensed AGPL-3.0
The repository is licensed AGPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.
What ships with it
25 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.
- agents/openai.yaml 179 B
- snippets/axon-cli.md 970 B
- snippets/axon-company-directories.md 1.4 KB
- snippets/axon-competitive-intel.md 1.7 KB
- snippets/axon-crawl.md 1.2 KB
- snippets/axon-dashboard-reporting.md 1.7 KB
- snippets/axon-deep-research.md 1.7 KB
- snippets/axon-demo-walkthrough.md 1.6 KB
- snippets/axon-download.md 1.1 KB
- snippets/axon-extract.md 1.4 KB
- snippets/axon-knowledge-base.md 1.3 KB
- snippets/axon-knowledge-ingest.md 1.2 KB
- snippets/axon-lead-gen.md 1.6 KB
- snippets/axon-lead-research.md 1.6 KB
- snippets/axon-map.md 1.1 KB
- snippets/axon-market-research.md 1.6 KB
- snippets/axon-monitor.md 984 B
- snippets/axon-qa.md 1.6 KB
- snippets/axon-research-papers.md 1.6 KB
- snippets/axon-scrape.md 1.1 KB
- snippets/axon-search.md 1.1 KB
- snippets/axon-seo-audit.md 1.6 KB
- snippets/axon-shop.md 1.6 KB
- snippets/axon-website-design-clone.md 1.7 KB
- snippets/axon-workflows.md 1.6 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.
- 16d ago Changed d3165d678ff5
- 18d ago First seen · 58 lines · 45 tokens per session scan A fbef9327ae45
axon-snippets is a skill published in the GitHub repository dinglebear-ai/axon (4 stars, last pushed yesterday), licensed AGPL-3.0. It adds 45 tokens to every session and 1,498 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-09-28.
Other skills, from other repositories
cortex-snippets
Use when installing, running, or adapting reusable Labby Code Mode snippets for Cortex incidents, session search, topology, reports, troubleshooting, service diagnostics, or assessment evidence. Use using-cortex for an ordinary single Cortex tool call.
using-cortex
Use when searching Cortex syslog, Docker, OTLP, or AI session evidence; checking hosts, errors, fleet state, topology, or correlations; or investigating homelab events through the Cortex MCP tool. For first-run setup or repair, use install-cortex.
install-cortex
Use when installing or repairing Cortex; provisioning its server, configuring a client-only host, choosing syslog/MCP/REST auth or Google OAuth, enabling durable Compose, selecting Codex app-server LLM support, or verifying agent connectivity.
connect
Connect any AI agent to MCP servers through mcptoon — one config synced everywhere, one stdio gateway, 99.2% fewer tokens on tool discovery.
authoring
Add or edit an MCP server entry in mcptoon's config correctly — stdio/streamable-http/sse shapes, command rules, placeholders, and validation.
triage
Diagnose and fix broken MCP servers in mcptoon — doctor, health, per-server probes, and the common failure playbook.