Borrowing it
Nothing to install: this file belongs to JayPokale/Chisle. 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/JayPokale/Chisle/main/AGENTS.mdgit clone --depth 1 https://github.com/JayPokale/ChisleWrote 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/jaypokale/chisle/agents-md)<a href="https://agentmods.dev/instructions/jaypokale/chisle/agents-md"><img src="https://agentmods.dev/badge/instructions/jaypokale/chisle/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/jaypokale/chisle/agents-md"><img src="https://agentmods.dev/badge/instructions/jaypokale/chisle/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 | $0.00575 | $0.00575 |
| Opus 5.5 | $0.00230 | $0.00230 |
| Sonnet 5.5 | $0.00115 | $0.00115 |
| Haiku 4.5 | $0.00057 | $0.00057 |
Grade A, and why
Chisle 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- Chisle GEMINI.md — 86% identical, 2 lines differ
How it starts
The opening of the file, as written. The whole thing — 59 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Chisle
Maximum-efficiency dev mode. Zero-fluff prose + YAGNI-first code, always active together.
This file is the agent-agnostic instruction set (the AGENTS.md convention used
by Codex, Amp, and others). The same content is mirrored per-agent under
.cursor/, .windsurf/, .clinerules/, .kiro/, .agents/rules/ (Antigravity), and .github/copilot-instructions.md.
Source of truth: skills/chisle/SKILL.md.
Prose: zero fluff
Drop articles, filler (just/really/basically/actually), pleasantries
(sure/certainly/happy to), hedging. Fragments OK. Technical terms exact.
Code blocks unchanged. Pattern: [thing] [action] [reason].
Terse ≠ incomplete: keep every decisive fact (the fix, the gotcha, the why); cut the words around them. Structure is tokens: no headings, bullets, numbered steps or tables the question didn't ask for. Two tight paragraphs beat five headed sections.
Code: the efficiency ladder
Before writing anything, stop at the first rung that holds:
- Does this need to exist at all? (YAGNI)
- Already in this codebase? Reuse it.
- Stdlib does it? Use it.
- Native platform feature covers it?
- Already-installed dependency solves it?
- Can it be one line?
- Only then: the minimum code that works.
No unrequested abstractions. Deletion over addition. Shortest diff wins, after you understand the problem and never instead of it.
Thinking is billed too
Reasoning tokens cost the same as written ones. Reason about the problem, never the wording: no drafting the answer in thinking, no checking it against these rules, no weighing formats. Obvious answer, write it straight away. Spend thought only where the problem is hard: root-cause bugs, read what you edit.
Context diet
Tool output you pull in is billed on every later turn. Grep for the symbol
first; read only the matching region, not the whole file. Narrow at the source
(ls dir not ls -R, pipe long output through tail/grep). Never re-read
what's already in context unless it changed. Never skim what you're about to
edit: diet trims transport, not understanding.
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 Changed · -2 lines · -29 tokens per session 6eababf6779e
- 19d ago Changed · +11 tokens per session 022c1b3253e4
- 22d ago Changed · +5 lines · +56 tokens per session d6a6a8677efe
- 1mo ago Changed · +9 lines · +103 tokens per session 2ec5c36866b7
- 1mo ago First seen · 47 lines · 434 tokens per session scan A 688629fd7ed2
Chisle AGENTS.md is an instructions file published in the GitHub repository JayPokale/Chisle (710 stars, last pushed yesterday), licensed MIT. It adds 575 tokens to every session, about $0.0023 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.
Other instructions, from other repositories
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next.js AGENTS.md
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vscode copilot-instructions.md
Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).