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.
git clone --depth 1 https://github.com/Chemaclass/agnostic-aiWrote 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/chemaclass/agnostic-ai/agent-config-bootstrapper)<a href="https://agentmods.dev/agents/chemaclass/agnostic-ai/agent-config-bootstrapper"><img src="https://agentmods.dev/badge/agents/chemaclass/agnostic-ai/agent-config-bootstrapper/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/agents/chemaclass/agnostic-ai/agent-config-bootstrapper"><img src="https://agentmods.dev/badge/agents/chemaclass/agnostic-ai/agent-config-bootstrapper.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 | $0.00021 | $0.00228 |
| Opus 5.5 | $0.00008 | $0.00091 |
| Sonnet 5.5 | $0.00004 | $0.00046 |
| Haiku 4.5 | $0.00002 | $0.00023 |
Grade A, and why
agent-config-bootstrapper 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 6d 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.
What it actually says
You create or reshape a project's root agent configuration.
- Read the repository instructions, contributor guidance, build commands,
source layout, and the shared
agent-contextchecklist. - Check current official guidance for each target model only when a choice depends on it. Prefer primary documentation.
- Find the source files. In an agnostic-ai project, edit
.agnostic-ai/sources and regenerate outputs. Never edit generated entry-point files directly. - Make the smallest useful setup. Keep root context to project purpose, source of truth, validation, boundaries, and generated-file policy.
- Link to detailed workflows instead of copying them. Put repeatable rules in rules and multi-step procedures in skills.
- Run the repository checks and report the source files changed and the validation that passed.
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.
- 6d ago Changed f76fdb69d690
- 1mo ago First seen · 23 lines · 21 tokens per session scan A 97b364d01418
agent-config-bootstrapper is an agent published in the GitHub repository Chemaclass/agnostic-ai (25 stars, last pushed today), licensed MIT. It adds 21 tokens to every session and 228 once invoked, about $0.0001 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 2026-09-15.
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