Borrowing it
Nothing to install: this file belongs to Emily2040/frontend-no-slop. 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/Emily2040/frontend-no-slop/master/AGENTS.mdgit clone --depth 1 https://github.com/Emily2040/frontend-no-slopWrote 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/emily2040/frontend-no-slop/agents-md)<a href="https://agentmods.dev/instructions/emily2040/frontend-no-slop/agents-md"><img src="https://agentmods.dev/badge/instructions/emily2040/frontend-no-slop/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/emily2040/frontend-no-slop/agents-md"><img src="https://agentmods.dev/badge/instructions/emily2040/frontend-no-slop/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 | $0.00293 | $0.00293 |
| Opus 5 | $0.00147 | $0.00147 |
| Sonnet 5 | $0.00059 | $0.00059 |
| Haiku 4.5 | $0.00029 | $0.00029 |
Grade A, and why
frontend-no-slop 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 9d 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.
What it actually says
Repository Instructions
This repository maintains the portable Frontend No-Slop skill. The consumer adapter text lives in adapters/; do not copy this maintainer file into downstream projects.
Maintainer Workflow
- Canonical skill source:
.agents/skills/frontend-no-slop/SKILL.md. - Consumer adapters must route to
.agents/skills/frontend-no-slop/SKILL.md. - When adapter text changes, run
python scripts/sync_adapters.pyand commit the updated adapter files. - Before opening a PR, run:
python -m pip install -r requirements-dev.lockpython scripts/validate_repo.pypython scripts/sync_adapters.py --checkpython scripts/check_docs.py
Release Rules
- Keep the canonical skill
metadata.versionaligned withCHANGELOG.md. - Add a dated changelog entry for every released version.
- Update examples, schemas, and eval fixtures together when changing output contracts.
- Keep
IMPROVEMENT_REVIEW.mdhistorical; useROADMAP.mdfor current work.
Schema Rules
page_typevalues must stay aligned with.agents/skills/frontend-no-slop/registry/page-type-lenses.json.- JSON examples must validate against their matching schemas.
- Invalid example fixtures must fail validation.
- Do not add unsupported template-placeholder tokens; the validator owns the exact banned list.
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.
- 9d ago First seen · 29 lines · 293 tokens per session scan A 10fb7563d5af
frontend-no-slop AGENTS.md is an instructions file published in the GitHub repository Emily2040/frontend-no-slop (5 stars, last pushed 3mo ago), licensed MIT. It adds 293 tokens to every session, about $0.0015 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
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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.
deepseek-harness AGENTS.md
AGENTS.md instructions for deepseek-ai/deepseek-harness, covering agents.md, pre-stable apis and released session data, repository layout, commands and host sandbox failures.