Borrowing it
Nothing to install: this file belongs to maweiruc/stat-toolkits-eif. 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/maweiruc/stat-toolkits-eif/main/AGENTS.mdgit clone --depth 1 https://github.com/maweiruc/stat-toolkits-eifWrote 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/maweiruc/stat-toolkits-eif/agents-md)<a href="https://agentmods.dev/instructions/maweiruc/stat-toolkits-eif/agents-md"><img src="https://agentmods.dev/badge/instructions/maweiruc/stat-toolkits-eif/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/maweiruc/stat-toolkits-eif/agents-md"><img src="https://agentmods.dev/badge/instructions/maweiruc/stat-toolkits-eif/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 | $0.01072 | $0.01072 |
| Opus 5.5 | $0.00429 | $0.00429 |
| Sonnet 5.5 | $0.00214 | $0.00214 |
| Haiku 4.5 | $0.00107 | $0.00107 |
Grade A, and why
stat-toolkits-eif 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 — 104 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agent instructions for the EIF toolkit
This repository is a documentation-first toolkit for deriving, validating, and implementing efficient influence functions (EIFs). It is not primarily a Python package yet. Treat the files in agent/, theory/, examples/, and simulations/ as the working system.
First files to read
For any EIF task, read these files first:
agent/eif_agent_task_spec.mdagent/eif_latex_problem_protocol.mdagent/eif_target_triage.mdagent/eif_research_problem_protocol.mdagent/eif_hard_problem_protocol.mdagent/eif_answer_rubric.mdtheory/semiparametric_influence_function_guide.mdtheory/eif_projection_guide.mdagent/eif_danger_zone.mdexamples/eif_examples.mdagent/eif_validation_tests.mdagent/eif_implementation_guide.md
Use examples/eif_formula_registry.yaml only after checking that the observed data, target, model, assumptions, nuisance definitions, and positivity conditions match.
For self-testing or evaluation, use both examples/eif_benchmark_tasks.md and examples/eif_hard_benchmark_tasks.md.
Default workflow
When the user gives a problem, especially in LaTeX:
- Normalize the problem statement.
- Assign a target triage label.
- State the observed-data unit (O).
- Separate the scientific target from the observed-data functional.
- State identification assumptions.
- State the statistical model.
- Check pathwise differentiability.
- Check whether the model is fully nonparametric or restricted.
- Identify nuisance functions and positivity conditions.
- Factorize the likelihood and decompose the score.
- Derive the IF/EIF component by component.
- Verify mean zero and the pathwise derivative identity.
- Check special-case reductions.
- Provide estimator, standard error, and validation code only when requested or useful.
LaTeX inbox behavior
For LaTeX inbox/problem-folder artifacts, follow agent/eif_problem_artifacts.md.
When the user asks to process a LaTeX problem under problems/latex_inbox/problem_*/problem.tex, check whether notes.md exists in the same folder.
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 · 104 lines · 1,072 tokens per session scan A b7e8be577240
stat-toolkits-eif AGENTS.md is an instructions file published in the GitHub repository maweiruc/stat-toolkits-eif (15 stars, last pushed 5mo ago), licensed MIT. It adds 1,072 tokens to every session, about $0.0043 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.
stat-toolkits-eif AGENTS.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| stat-toolkits-eif AGENTS.mdmaweiruc/stat-toolkits-eif | Instructions file | 15 | 5mo ago | MIT | A | 1,072 | Codex, OpenCode |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 9,719 | 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 | yesterday | MIT | A | 4,680 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 5,516 | GitHub Copilot |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 3,093 | GitHub Copilot |
| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 274k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |