Borrowing it
Nothing to install: this file belongs to raydeStar/sir-thaddeus. 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/raydeStar/sir-thaddeus/master/AGENTS.mdgit clone --depth 1 https://github.com/raydeStar/sir-thaddeusWrote 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/raydestar/sir-thaddeus/agents-md)<a href="https://agentmods.dev/instructions/raydestar/sir-thaddeus/agents-md"><img src="https://agentmods.dev/badge/instructions/raydestar/sir-thaddeus/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/raydestar/sir-thaddeus/agents-md"><img src="https://agentmods.dev/badge/instructions/raydestar/sir-thaddeus/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 | $0.02052 | $0.02052 |
| Opus 5.5 | $0.00821 | $0.00821 |
| Sonnet 5.5 | $0.00410 | $0.00410 |
| Haiku 4.5 | $0.00205 | $0.00205 |
Grade A, and why
sir-thaddeus 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 2mo 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 — 200 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Sir Thaddeus Agent Guide
Scope
Apply this guide to the entire repository. Treat more-specific AGENTS.md
files, when present, as additional instructions for their directory only.
Product objective
Sir Thaddeus is a local-first assistant intended to show that a small model can complete a large share of ordinary work when deterministic capabilities, memory, permissions, tools, and observable verification are used well.
Keep two claims separate:
- Model capacity: closed-book knowledge and reasoning, measured with MMLU and related controls.
- Harness capability: successful user outcomes created by tools, retrieval, state, permissions, and external verification.
Do not substitute one score for the other. State the primary metric before an experiment begins. Preserve raw-model language quality while improving product capability.
Track product quality as a third, independent scorecard: latency, safety, personality, continuity, validity, permissions, false success, and resource use. Changing to a larger or newer model may be a useful deployment comparison, but it is not evidence that the harness improved the fixed model under test.
Required orientation
Before changing assistant behavior, read:
docs/ASSISTANT_PIPELINE.mdfor the supported production path and retired experiments.docs/EXPERIMENTATION.mdfor benchmark and promotion policy.docs/TESTING.mdfor the narrowest trustworthy verification command.
For optimization work, also read docs/CALIBRATED_IMPROVEMENT_PLAN.md and the
current evidence in docs/research/ before selecting a candidate.
Use THADDEUS_ROUTING_LATENCY_SCOPE.md as historical evidence, not as the
current architecture contract. Verify drift-prone claims against current code,
GitHub state, and fresh artifacts.
When available, use the sir-thaddeus-experiment-loop skill for MMLU, harness,
prompt, routing, model-comparison, latency, VRAM, or benchmark work.
Production invariants
- Preserve safety boundaries, personality, memory, dialogue continuity, permissions, tool policy, auditing, sanitization, and explicit response contracts unless the task explicitly changes one of them.
- Keep desktop and headless behavior aligned.
- Keep benchmark datasets, expected answers, suite identifiers, scorer logic, and promotion thresholds outside production assemblies.
- Prefer a generalized fix at the narrowest product seam over a broad rewrite.
- Do not retain rejected behavior behind a disabled flag. Remove it.
- Treat external tools and model providers as untrusted boundaries.
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.
- 2mo ago First seen · 200 lines · 2,052 tokens per session scan A e7f90815b2d0
sir-thaddeus AGENTS.md is an instructions file published in the GitHub repository raydeStar/sir-thaddeus (15 stars, last pushed 3d ago), licensed Apache-2.0. It adds 2,052 tokens to every session, about $0.0082 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 2026-08-30.
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