Borrowing it
Nothing to install: this file belongs to conorbronsdon/grokkable-output. 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/conorbronsdon/grokkable-output/main/AGENTS.mdgit clone --depth 1 https://github.com/conorbronsdon/grokkable-outputWrote 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/conorbronsdon/grokkable-output/agents-md)<a href="https://agentmods.dev/instructions/conorbronsdon/grokkable-output/agents-md"><img src="https://agentmods.dev/badge/instructions/conorbronsdon/grokkable-output/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/conorbronsdon/grokkable-output/agents-md"><img src="https://agentmods.dev/badge/instructions/conorbronsdon/grokkable-output/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 | $0.00509 | $0.00509 |
| Opus 5.5 | $0.00204 | $0.00204 |
| Sonnet 5.5 | $0.00102 | $0.00102 |
| Haiku 4.5 | $0.00051 | $0.00051 |
Grade A, and why
grokkable-output 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 — 37 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agent instructions — grokkable-output
This repo ships one artifact: SKILL.md, a portable agent skill that changes how
an agent writes replies, reports, and status updates (verdict first, one-pass
readable, calibrated claims). Everything else supports it.
Layout
SKILL.md— the skill. The only file consumers need.examples/— real, unedited before/after pairs from A/B testing on Opus subagents. Generated artifacts: regenerate only by re-running the eval harness in the development repo, never by hand-editing (they are evidence, not prose).evals/— the corpus behind the testing claims: fixtures, assertion sets, per-assertion graded runs (including the rejected v0.4/v0.5 rounds), analyst summary. Provenance and known artifact defects:evals/README.md.README.md— positioning, install, testing summary, related work.
Rules for working in this repo
- Apply the skill to your own output here. A PR description or issue reply in this repo that buries its lede is a bug report against the product. Unenforced — no hook checks this; reviewers do.
- Examples and eval runs are evidence. Never edit files under
examples/orevals/runs/to read better. Their value is that they are verbatim model output — defects included (seeevals/README.mdfor the known ones). Unenforced by tooling; provenance is documented inexamples/README.mdandevals/README.md. - Testing claims in README.md must trace to the eval corpus. Scores (21/22,
15/19, word counts) come from the graded runs in
evals/runs/and the summary inevals/RESULTS.md. If you change a claim, cite the grading it comes from. Unenforced — no CI yet; treat any unsourced number as a defect (the skill's own rule). - Keep the SKILL.md frontmatter complete (name, description, version, license, compatibility, metadata) — agentskills.io and marketplace listers read it.
- Version bumps follow semver on skill content: pattern/rule changes are minor, wording fixes are patch.
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 · 37 lines · 509 tokens per session scan A f039611dc94d
grokkable-output AGENTS.md is an instructions file published in the GitHub repository conorbronsdon/grokkable-output (2 stars, last pushed 1mo ago), licensed MIT. It adds 509 tokens to every session, about $0.0020 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 2026-08-31.
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.