Borrowing it
Nothing to install: this file belongs to manavmishra/ZeroSlop. 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/manavmishra/ZeroSlop/main/AGENTS.mdgit clone --depth 1 https://github.com/manavmishra/ZeroSlopWrote 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/manavmishra/zeroslop/agents-md)<a href="https://agentmods.dev/instructions/manavmishra/zeroslop/agents-md"><img src="https://agentmods.dev/badge/instructions/manavmishra/zeroslop/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/manavmishra/zeroslop/agents-md"><img src="https://agentmods.dev/badge/instructions/manavmishra/zeroslop/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 | $0.01564 | $0.01564 |
| Opus 5.5 | $0.00626 | $0.00626 |
| Sonnet 5.5 | $0.00313 | $0.00313 |
| Haiku 4.5 | $0.00156 | $0.00156 |
Grade A, and why
ZeroSlop 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 1mo 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 — 111 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md
Guidance for AI coding agents (Claude Code, Codex, OpenCode, Warp, etc.) working in or executing this repository.
Development coordination
For repository development, also read CLAUDE.md and follow its bounded,
free-only Asana housekeeping contract. This applies across coding assistants,
not only Claude. It does not apply when merely executing the portable editing
skill on a user's writing, and it does not add networking to the runtime.
Questions and status-only requests retain the read-only boundary in that file.
What this repo is
A portable agent skill. The runtime artifact is SKILL.md (YAML frontmatter
- the detect → rewrite → verify → learn loop).
scripts/slopscore.pyis an optional heuristic surface scorer — stdlib-only Python, offline, read-only. There is no build step. Keep all wording harness-neutral: Claude Code and Codex are examples, not limits.
Executing the skill
- Read
SKILL.mdfully; it routes you toreferences/by genre and task. - Run the scorer when
python3exists:python3 scripts/slopscore.py --explain <file>(or stdin). If python3 is unavailable, degrade gracefully: skip the metered gate, usereferences/tells.md+references/overcorrection.mdand the self-rubric in SKILL.md step 4 as the gate. Never fail the task because the scorer can't run. - The hard rules in SKILL.md (no fabrication — including interior-experience claims; flag hollow spans; no over-correction) are non-negotiable in every harness.
Key files
SKILL.md— source of truth for behavior.data/patterns.json+data/learned.json— the weighted tell database; reviewed shared rules merge over base at runtime. Private online learning lives under$ZERO_SLOP_HOME(default~/.zero-slop) and loads last, so an install or update never overwrites it.data/learned-log.mdis the dated log of reviewed shared taxonomy changes.- No trained model ships. One was built and cut for being confidently wrong on
current-era text;
references/evidence.mddocuments that negative result. Do not reintroduce a trained channel without a transfer test on drafts from the model generation users actually face. scripts/contextual.pyis a maintainer-only release-research tool. It prepares and validates source-bound host-model reviews, never calls a model, and never changes production output or the surface score. It is deliberately excluded from the packaged skill; Zero Slop has one production workflow and no runtime feature switch.scripts/learn.py --guide --for <draft>retrieves reason-labelled private fix preferences. Retrieval is advisory lexical coverage, not a probability, and must abstain when no relevant evidence exists.scripts/reader_review.pyprepares source-and-audience-bound passage packets and escaped standalone reports for optional audience reviews. It performs no inference, networking, or file writes.references/reader-review.mdowns the host workflow: simulated reactions are hypotheses, context isolation is a harness responsibility, and reader feedback never trains private preferences or changes the score without a person's explicit approval through the normal editing/learning path. It adds no calls to the hosted editing pipeline.$ZERO_SLOP_HOME/voices/— private named scoring profiles, outside the repository. The sample-based builder records an existing lexicon or rider term after one exact word match. It does not store the sample or model the writer's full style, and the profile has no effect unless selected with--voice NAME. Never commit these profiles.$ZERO_SLOP_HOME/notes.json— a run counter and one boolean, so the single GitHub-star note can be shown once and never again. It records no text, no scores, no paths and no identifiers, is never sent anywhere, and the note is suppressed entirely byZERO_SLOP_NO_NOTES=1, by--json,--batchor--gate, and by any run whose stdout is not a terminal.bench/(if present) — reproducible benchmark harness and scorecard.website/is a retained, testable snapshot, not the source of the live site. Its deploy command intentionally refuses. The live site atzero-slop.aiis built fromgithub.com/manavmishra/ZSWebpage; make and deploy site changes there. Do not remove the refusal guard or deploy this snapshot tozero-slop.ai. Identify production by its domain, not its palette: the colour named here went stale the day the site was repainted.
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.
- 1mo ago Changed · +7 lines · +106 tokens per session 9a805c81c5b4
- 1mo ago Changed · +8 lines · +79 tokens per session c3b40baecf8d
- 1mo ago Changed · +7 lines · +110 tokens per session 00b7de39dce2
- 1mo ago Changed · +6 lines · +110 tokens per session c9a73c5a4523
- 1mo ago First seen · 83 lines · 1,159 tokens per session scan A 92d0b0484b55
ZeroSlop AGENTS.md is an instructions file published in the GitHub repository manavmishra/ZeroSlop (148 stars, last pushed yesterday), licensed MIT. It adds 1,564 tokens to every session, about $0.0063 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
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).
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.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, cache eligibility and rollout and applying the notice (cutover).
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 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).
deno copilot-instructions.md
Copilot instructions for denoland/deno, covering deno development guide for github copilot, network access, high level overview, key directories and key files to understand first.