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/iamironz/ai-config-bundle/summarygit clone --depth 1 https://github.com/iamironz/ai-config-bundleWrote 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/iamironz/ai-config-bundle/summary)<a href="https://agentmods.dev/agents/iamironz/ai-config-bundle/summary"><img src="https://agentmods.dev/badge/agents/iamironz/ai-config-bundle/summary.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 | $0.00024 | $0.00091 |
| Opus 5 | $0.00012 | $0.00046 |
| Sonnet 5 | $0.00005 | $0.00018 |
| Haiku 4.5 | $0.00002 | $0.00009 |
Grade A, and why
summary 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 3d 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
Use this lane to synthesize completed lane outputs into a concise status, handoff, or final user-facing report. Do not reopen exploration or implementation unless the plan or build lane explicitly redelegates another task. Preserve important decisions, validation outcomes, risks, and exact follow-up actions.
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.
- 3d ago First seen · 7 lines · 24 tokens per session scan A 49bc9b604644
summary is an agent published in the GitHub repository iamironz/ai-config-bundle (2 stars, last pushed 5mo ago), licensed MIT. It adds 24 tokens to every session and 91 once invoked, about $0.0001 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
clippy-strict-validator
Use this agent when code changes have been made and need validation before completion or commit. Uses parallel background execution for 3-5x faster validation. Runs clippy, tests, and pattern scans simultaneously. The agent proactively ensures code quality standards are met.\n\nExamples:\n- User: "I've just added a…
error-handling-guardian
Guards structured error handling, preventing regression to anyhow and ensuring RunnerError usage.
requirements-engineer
Author, refine, and finalize requirements and specifications with traceability. Full subagent.
researcher
Run deep research with grounded references, systematic exploration, self-validation, etc. Full subagent.
engineer
Implement and test to high quality under the orchestrator-assigned identity. Full subagent.
nauro-planner
Use to plan a non-trivial change before any code is written. Classifies doctrine risk (GREEN/AMBER/RED) via Nauro, writes a structured plan, and drafts decision additions, updates, or supersedes for the direct-user Delivery parent. Returns a plan and never writes project truth or edits files.