Borrowing it
Nothing to install: this file belongs to TTAWDTT/elegant-researcher-skill. 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/TTAWDTT/elegant-researcher-skill/main/AGENTS.mdgit clone --depth 1 https://github.com/TTAWDTT/elegant-researcher-skillWrote 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/ttawdtt/elegant-researcher-skill/agents-md)<a href="https://agentmods.dev/instructions/ttawdtt/elegant-researcher-skill/agents-md"><img src="https://agentmods.dev/badge/instructions/ttawdtt/elegant-researcher-skill/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/ttawdtt/elegant-researcher-skill/agents-md"><img src="https://agentmods.dev/badge/instructions/ttawdtt/elegant-researcher-skill/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 | $0.00957 | $0.00957 |
| Opus 5 | $0.00478 | $0.00478 |
| Sonnet 5 | $0.00191 | $0.00191 |
| Haiku 4.5 | $0.00096 | $0.00096 |
Grade A, and why
elegant-researcher-skill 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 11d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- elegant-researcher-skill CLAUDE.md — 94% identical, 6 lines differ
How it starts
The opening of the file, as written. The whole thing — 128 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md
This file guides Codex or another agent when working in this repository.
What This Repository Is
This repository is a markdown-based skill bundle for end-to-end AI/ML research orchestration. It is not a traditional software package. There is no build system or application runtime.
The root SKILL.md defines the elegant-researcher-skill meta-skill. It coordinates bundled research skills to move from a user idea to a research artifact.
Repository Structure
SKILL.md # elegant-researcher-skill meta-skill
AGENTS.md # repository guidance for agents
skills-manifest.yaml # bundled skills, routes, aliases, fallbacks
agents/openai.yaml # UI metadata
skills/ # bundled skill copies
Bundled Skills
| Skill | Role |
|---|---|
autoresearch |
Workspace setup, state tracking, research loops |
research-lookup |
Literature search and synthesis |
brainstorming-research-ideas |
Ideation and hypothesis evolution |
scientific-critical-thinking |
Pre- and post-experiment review |
ml-training-recipes |
ML experiment design and PyTorch patterns |
academic-plotting |
Data-driven publication figures |
scientific-visualization |
Conceptual and journal-style figures |
scientific-schematics |
AI-generated publication-quality schematics and graphical abstracts |
imagegen |
General-purpose AI image generation and editing |
scholar-evaluation |
Quality scoring and publication readiness |
scientific-writing |
Scientific reports |
ml-paper-writing |
ML/AI paper drafts |
systems-paper-writing |
Systems paper drafts and venue guidance |
user-interaction |
Checkpoint protocol |
Modes
The pipeline supports five modes:
quick-cycle: fast feasibility cycle.deep-cycle: detailed first cycle with micro-validation and draft.paper-ready: stronger paper-oriented cycle with citation and reviewer checks.theory-only: survey, framework, or theory path.human-in-loop: waits for user decisions and full experiment results.
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.
- 11d ago First seen · 128 lines · 957 tokens per session scan A 3867bacaa321
elegant-researcher-skill AGENTS.md is an instructions file published in the GitHub repository TTAWDTT/elegant-researcher-skill (5 stars, last pushed 3mo ago), licensed MIT. It adds 957 tokens to every session, about $0.0048 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.
Other instructions, from other repositories
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
codex AGENTS.md
AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
spec-kit AGENTS.md
AGENTS.md instructions for github/spec-kit, covering agents.md, about spec kit and specify, quickstart — add a new integration in 5 steps, integration architecture and integrationmanifest — file tracking.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.