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/CLAUDE.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/claude-md)<a href="https://agentmods.dev/instructions/ttawdtt/elegant-researcher-skill/claude-md"><img src="https://agentmods.dev/badge/instructions/ttawdtt/elegant-researcher-skill/claude-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/claude-md"><img src="https://agentmods.dev/badge/instructions/ttawdtt/elegant-researcher-skill/claude-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 | $0.00959 | $0.00959 |
| Opus 5 | $0.00479 | $0.00479 |
| Sonnet 5 | $0.00192 | $0.00192 |
| Haiku 4.5 | $0.00096 | $0.00096 |
Grade A, and why
elegant-researcher-skill CLAUDE.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.
This is a copy
94% identical to elegant-researcher-skill AGENTS.md — 6 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
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.
CLAUDE.md
This file guides Claude Code 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
CLAUDE.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 · 959 tokens per session scan A dd428f4489b5
elegant-researcher-skill CLAUDE.md is an instructions file published in the GitHub repository TTAWDTT/elegant-researcher-skill (5 stars, last pushed 3mo ago), licensed MIT. It adds 959 tokens to every session, about $0.0048 per session on Opus 5. A static security scan graded it A with 0 findings. It is 94% identical to elegant-researcher-skill AGENTS.md, differing in 6 lines, and is treated as a copy.
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.
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.
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).