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 instructions/tetracoralla/batchticket/agents-mdgit clone --depth 1 https://github.com/tetracoralla/BatchTicketWrote 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/instructions/tetracoralla/batchticket/agents-md)<a href="https://agentmods.dev/instructions/tetracoralla/batchticket/agents-md"><img src="https://agentmods.dev/badge/instructions/tetracoralla/batchticket/agents-md.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 | $0.00734 | $0.00734 |
| Opus 5 | $0.00367 | $0.00367 |
| Sonnet 5 | $0.00147 | $0.00147 |
| Haiku 4.5 | $0.00073 | $0.00073 |
Grade A, and why
BatchTicket AGENTS.md 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.
How it starts
The opening of the file, as written. The whole thing — 38 lines — stays where its author put it; the contents beside it link to each section on GitHub.
BatchTicket Guidance
Read current authority first
Before building or reviewing, read:
docs/PRODUCT_MODEL.mdfor the user, task, scope, and deliberate boundaries;docs/TRANSFORMATION_IR.mdand the live executable schemas for the current contract;docs/REVIEW_CONTRACT.mdfor durable acceptance invariants and validation lanes;- current source, tests, plugin configuration, and installed runtime state.
Current code and runtime behavior outrank historical reports, generated artifacts, and earlier acceptance claims. Use the global build-agent-native-utilities skill for construction or review of this project.
Preserve the product definition
This project is an Agent-native deterministic structured-data transformation runtime. Its owned value is the typed transformation contract, safe execution boundary, shape inspection, truthful loss/effect accounting, and token-aware I/O. It is not a new jq, SQL, parser, database, or general code-execution surface.
Keep library, CLI, MCP, and plugin adapters on one semantic core. Reuse mature engines for established work, but do not let engine behavior silently define the public product contract.
Build invariants
- Expose every Agent-authored nested input through a complete executable schema. Reject unknown, conflicting, or ambiguous shapes before execution, and keep transport schema, runtime validation, and published schema on one owned model or drift check.
- Resolve MCP resources against an explicit granted workspace. Do not use the installed plugin directory or ambient process directory as the user's data root, and do not permit path, symlink, or URI escape without a separate explicit grant.
- Apply cumulative input, source, row/item, nesting, time, memory, temporary-storage, and output budgets to the whole logical call. Keep every untrusted parser, validator, engine, and result phase inside the enforceable worker boundary.
- Bound the complete serialized response, including samples, shape metadata, execution effects, diff snippets, validation failures, and error details.
- Preserve deterministic ordering and carrier-independent meaning. Inline and file inputs that represent the same value must not change kind or semantics accidentally.
- Never silently coerce, collide, drop, duplicate, round, truncate, or invent data. Make lossy behavior explicit and add the smallest negative regression test for every repaired edge case.
- Preflight destinations, overwrite authority, return policy, and response feasibility before mutation. Dry-run uses the same preflight and never publishes output. An ordinary error must not hide a completed side effect.
- Make
execution_effectstruthful for single- and multi-input operations. Record the input sides, matches, unmatched data, fan-out, new nulls, dropped data, type changes, assertions, and material warnings that affect downstream use. Treat it as first-party observation, never independent proof of semantic correctness.
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 · 38 lines · 734 tokens per session scan A 1baf778d0f4d
BatchTicket AGENTS.md is an instructions file published in the GitHub repository tetracoralla/BatchTicket (0 stars, last pushed 4d ago), licensed Apache-2.0. It adds 734 tokens to every session, about $0.0037 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.
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