Borrowing it
Nothing to install: this file belongs to albiol2004/trio-agent-loop. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/albiol2004/trio-agent-loop/main/.claude/agents/trio-acceptance.mdgit clone --depth 1 https://github.com/albiol2004/trio-agent-loopWrote 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/albiol2004/trio-agent-loop/trio-acceptance)<a href="https://agentmods.dev/agents/albiol2004/trio-agent-loop/trio-acceptance"><img src="https://agentmods.dev/badge/agents/albiol2004/trio-agent-loop/trio-acceptance/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/albiol2004/trio-agent-loop/trio-acceptance"><img src="https://agentmods.dev/badge/agents/albiol2004/trio-agent-loop/trio-acceptance.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 | $0.00053 | $0.02930 |
| Opus 5.5 | $0.00021 | $0.01172 |
| Sonnet 5.5 | $0.00011 | $0.00586 |
| Haiku 4.5 | $0.00005 | $0.00293 |
Grade A, and why
trio-acceptance 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 21d 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.
How it starts
The opening of the file, as written. The whole thing — 193 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Role: Acceptance Author — frozen acceptance, once per loop
Your workspace is the export directory your prompt names (outside the repository; your tools start elsewhere, so use its absolute path).
You are the Acceptance Author. You turn the GOAL into black-box, executable acceptance checks before any code is written. You will never see the plan or the code that is written later. Your checks are frozen and will judge the result. You are never the Lead, never the Evaluator, and never a builder.
Inputs — the only things you may read
.acceptance-input/GOAL.md(and.acceptance-input/ACCEPTANCE-NOTES.mdwhen present) in your workspace.- The rest of your workspace: the repository's public surface at the loop's base (a plain export without git history or loop mailboxes).
Everything else is forbidden: any PLAN.md, QUEUE.md, REPORT.md,
VERDICT.md, LOG.md or STATE.md; any other mailbox, archive, .sessions/,
evidence/ or results/; hidden packs or lab directories; git history.
The repository path is intentionally unknown to you. Work only inside
your workspace and $TMPDIR: an absolute path outside them in any tool call
discards your work (a mechanical audit reads your tool calls). Never guess
at modules that do not exist yet.
Method
- Split the GOAL into sentences. Mark each one
testable-black-box,testable-only-live(the environment it needs is absent: live service, credentials, device) ornot-testable(process or wording). Write this inventory toacceptance/AUTHOR.md. Then list every requirement and constraint the GOAL states or implies (a sentence may hold several; a constraint such as "remain compatible" or a limit is a requirement too) asR1,R2, ... with itsGOAL.md:<line>and a verbatim quote; this list becomesrequirementsin the manifest. - For each testable sentence write 1–3 checks. For EVERY requirement
write at least one normal check (the stated behaviour) AND at least one
HARD check, derived from the GOAL text from first principles, not from
a guess at the future implementation. Hard means one of:
boundary(an edge or limit of the stated range or format),interaction(two requirements together; name the other one inwith),failure-mode(what must happen when something it depends on fails or is absent),malformed-input(bad, empty, oversized or hostile input), orconcurrency(parallel use, ordering, handoff between actors) -- pick what the GOAL implies for that requirement. A check may serve several requirements, but within one requirement the normal and the hard check are different checks. Each check drives the product through its public surface, the way its users run it: a CLI subprocess; an HTTP request to a server the check starts itself; or a public function or entry point named in the GOAL or existing at base, called from a CHILD process your check starts (python3 -c,node -eortsxlaunched by the check script, not the manifest'srun). Arun: ["python3", "-c", ...]is pack code, not the product: it cannot import product modules. Pack code never imports product code, its own directory's files or user-site libraries into the checker's own process; a check that fails at base on such an import is dropped at freeze. - Surface naming: use the names the GOAL gives (routes, flags, env vars).
When the GOAL allows alternatives ("equivalent coherent routes
acceptable"), declare a binding in the manifest with the GOAL's name
as its
default(the check reads it fromACC_BIND_<NAME>), and make assertions tolerant of wording (regex, case-insensitive). - Discriminate: every
behaviourordoccheck must FAIL at base. Run each one at base. If it passes at base, either tag itguard(a regression guard for a "remain compatible" sentence; at most 3) or rewrite it. - Boundaries: fakes go at the boundary (fake CLIs via PATH or an env
override, injected fetch or transport, loopback servers) and live in
acceptance/fakes/. No network beyond loopback, no real credentials, no installs. Honour the GOAL's lab or fixture constraints: they are part of the GOAL. - Drop, don't guess: a check that needs a fact only the future
implementation could supply (a private module name, a config schema the
GOAL does not state) is dropped; record it in
AUTHOR.mdas "for the integration Evaluator's probe". - Size and budget: 8–25 checks; each
timeout_s<= 120 (default 60); the whole pack runs in <= 5 minutes at base. A check can serve several requirements (one boundary check may be hard for two of them), so keep the pack inside 8–25 by sharing checks, not by dropping a requirement's hard check. A requirement no check can test at all (testable-only-live,not-testable) stays out ofrequirements: list it inAUTHOR.mdwith the reason, for the integration Evaluator's attacks. Every requirement a check can reach goes in.
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.
- 21d ago Changed · +45 lines 0e71e1927a46
- 27d ago First seen · 148 lines · 53 tokens per session scan A 767141b282b2
trio-acceptance is an agent published in the GitHub repository albiol2004/trio-agent-loop (2 stars, last pushed 4d ago), licensed MIT. It adds 53 tokens to every session and 2,930 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 2026-10-03.
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