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 overdrive-dev/aihaus-flow --skill aih-refreshgit clone --depth 1 https://github.com/overdrive-dev/aihaus-flowWrote 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/overdrive-dev/aihaus-flow/aih-refresh)<a href="https://agentmods.dev/skills/overdrive-dev/aihaus-flow/aih-refresh"><img src="https://agentmods.dev/badge/skills/overdrive-dev/aihaus-flow/aih-refresh/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/overdrive-dev/aihaus-flow/aih-refresh"><img src="https://agentmods.dev/badge/skills/overdrive-dev/aihaus-flow/aih-refresh.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 | $0.00017 | $0.00249 |
| Opus 5.5 | $0.00007 | $0.00100 |
| Sonnet 5.5 | $0.00003 | $0.00050 |
| Haiku 4.5 | $0.00002 | $0.00025 |
Grade A, and why
aih-refresh 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 1mo 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
Read .aihaus/MAP.md, .aihaus/contracts/harness.md, .aihaus/REFRESH.md, and
.aihaus/contracts/project-bootstrap.md. Follow the provider-neutral bootstrap
contract exactly.
Run node .aihaus/tools/refresh.mjs --repo . --json. If
readyForSynthesis is false, preserve the memory templates and report the
missing authoritative project evidence, or offer the scope interview from
.aihaus/REFRESH.md and record owner answers in PROJECT-BRIEF.md before
rerunning discovery. Otherwise synthesize only verified,
source-backed knowledge into .aihaus/memory/project/, preserving existing
content and never recording secrets. Rerun discovery and finish with
node .aihaus/tools/refresh.mjs --repo . --status --json.
Do not use global aihaus state, user-level settings, hooks, network access, or
legacy /aih-env behavior.
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.
- 1mo ago First seen · 25 lines · 17 tokens per session scan A 86318f190051
aih-refresh is a skill published in the GitHub repository overdrive-dev/aihaus-flow (5 stars, last pushed 5d ago), licensed MIT. It adds 17 tokens to every session and 249 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 2026-08-31.
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