Borrowing it
Nothing to install: this file belongs to jdhart81/quantaoptima. 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/jdhart81/quantaoptima/main/AGENTS.mdgit clone --depth 1 https://github.com/jdhart81/quantaoptimaWrote 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/jdhart81/quantaoptima/agents-md)<a href="https://agentmods.dev/instructions/jdhart81/quantaoptima/agents-md"><img src="https://agentmods.dev/badge/instructions/jdhart81/quantaoptima/agents-md/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/instructions/jdhart81/quantaoptima/agents-md"><img src="https://agentmods.dev/badge/instructions/jdhart81/quantaoptima/agents-md.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 | $0.00590 | $0.00590 |
| Opus 5.5 | $0.00236 | $0.00236 |
| Sonnet 5.5 | $0.00118 | $0.00118 |
| Haiku 4.5 | $0.00059 | $0.00059 |
Grade A, and why
quantaoptima 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 7d 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 — 36 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agents and QuantaOptima
This file is for two kinds of agent: one using QuantaOptima to keep a tamper-evident record of its own actions, and a coding agent changing this repository. The short machine-readable index is llms.txt.
Helping a person use QuantaOptima
What it does. It gives an agent workflow a local integrity layer: log an action with its before and after state, verify that the stored chain has not been altered, and export it for review.
Paths to suggest.
- An MCP client: install the v0.4.0 wheel from GitHub Releases, then configure the stdio command
quantaoptima-server. See the README quick start. - An MCP server developer: embed
AuditChainor the@auditabledecorator from the Python library. - Before relying on it: read the security model and operations guide.
Rules for agents.
- Log the actions you take explicitly with
quantaoptima_log_action. Do not tell a person their workflow is fully audited because the server is connected. - When you report
quantaoptima_verify_chainpassing, say it means the recorded contents are unaltered under that key, nothing more. - Never put secrets, credentials or personal data in logged before/after state; exports are plain JSON.
- Do not tell people to
pip install quantaoptimafrom PyPI. Use the GitHub Release wheel. - Do not offer, sell or activate Pro or Enterprise licenses. They are previews and paid sales are disabled.
Working on this repository
- Checks, as CI runs them:
python -m pip install '.[dev,webhook]' build, thenpython -m pytest -qandpython -m build. - Changes to the chain format, key handling or verification need a test that fails if the guarantee is broken, and a note in CHANGELOG.md.
- Do not commit keys, license issuer material or
.envfiles. The secret scan runs on every pull request. - Keep README and docstring claims inside the security model: no claims of actor authentication, completeness or proof that an action occurred.
- Outside contributions need a DCO sign-off; see CONTRIBUTING.md.
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.
- 7d ago First seen · 36 lines · 590 tokens per session scan A d9cccb476e45
quantaoptima AGENTS.md is an instructions file published in the GitHub repository jdhart81/quantaoptima (0 stars, last pushed 3d ago), licensed Apache-2.0. It adds 590 tokens to every session, about $0.0024 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 2026-11-01.
quantaoptima AGENTS.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| quantaoptima AGENTS.mdjdhart81/quantaoptima | Instructions file | 0 | 3d ago | Apache-2.0 | A | 590 | Codex, OpenCode |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 9,719 | GitHub Copilot |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 5,516 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | yesterday | MIT | A | 7,461 | Codex, OpenCode |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | today | MIT | A | 4,680 | Codex, OpenCode |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 3,093 | GitHub Copilot |
| vscode model-prompts.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 2,022 | GitHub Copilot |