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 agentmods add agents/dinglebear-ai/axon/researchergit 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/agents/dinglebear-ai/axon/researcher)<a href="https://agentmods.dev/agents/dinglebear-ai/axon/researcher"><img src="https://agentmods.dev/badge/agents/dinglebear-ai/axon/researcher.svg" alt="Measured on agentmods" 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 | $0.00082 | $0.01161 |
| Opus 5 | $0.00041 | $0.00580 |
| Sonnet 5 | $0.00016 | $0.00232 |
| Haiku 4.5 | $0.00008 | $0.00116 |
Grade A, and why
researcher 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 5d 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 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.
- 5d ago First seen · 105 lines · 82 tokens per session scan A 4badd875a635
researcher is an agent published in the GitHub repository dinglebear-ai/axon (4 stars, last pushed today), licensed AGPL-3.0. It adds 82 tokens to every session and 1,161 once invoked, about $0.0004 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 2026-08-31.
Other agents, from other repositories
ready
Sonnet backlog-readiness judge — vets a spec against prose/code; never writes code or flips status.
scaffold
Cheap agent — mints a new migration/backlog/skill file from convention; never invents content.
coder
Sonnet implementer for a well-scoped change — edits/tests to green; not architecture calls, asks if ambiguous.
gripe-filer
Haiku mechanical filer — files a decided finding (gripe/backlog) after dedup; won't pick the target.
housekeeper
Sonnet worktree/branch janitor — confirms with user, then removes saferemove-bucket worktrees; hard-stops on live/dirty/unmerged trees.
issue-closer
Sonnet post-ship closer — closes only items a shipped commit visibly fixes; leaves uncertain open.