Borrowing it
Nothing to install: this file belongs to littlebearapps/pitchdocs. 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/littlebearapps/pitchdocs/main/AGENTS.mdgit clone --depth 1 https://github.com/littlebearapps/pitchdocsWrote 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/littlebearapps/pitchdocs/agents-md)<a href="https://agentmods.dev/instructions/littlebearapps/pitchdocs/agents-md"><img src="https://agentmods.dev/badge/instructions/littlebearapps/pitchdocs/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/littlebearapps/pitchdocs/agents-md"><img src="https://agentmods.dev/badge/instructions/littlebearapps/pitchdocs/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 | $0.02373 | $0.02373 |
| Opus 5.5 | $0.00949 | $0.00949 |
| Sonnet 5.5 | $0.00475 | $0.00475 |
| Haiku 4.5 | $0.00237 | $0.00237 |
Grade A, and why
pitchdocs 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 — 97 lines — stays where its author put it; the contents beside it link to each section on GitHub.
PitchDocs
Generate high-quality public-facing repository documentation with a marketing edge. PitchDocs creates READMEs that sell, changelogs that communicate value, roadmaps from GitHub milestones, and audits your docs completeness — with GEO-optimised structure for AI citation and launch artifacts for promotion. For AI context file management, see ContextDocs.
Documentation Standards
Australian English (realise, colour). Conventional commits. Benefit-driven language: [Feature] so you can [outcome] — [evidence]. 4-question test (problem? use? who? learn more?). Progressive disclosure (non-technical first paragraph, technical details deeper).
Available Skills
Skills are loaded on-demand to provide deep reference knowledge. Each lives at .claude/skills/<name>/SKILL.md (or .agents/skills/<name>/SKILL.md if you've copied them for Codex CLI). There are 15 skills in total.
| Skill | What It Provides |
|---|---|
public-readme |
README structure with the Daytona/Banesullivan marketing framework — hero template, value proposition, quickstart with Time to Hello World targets, features with evidence-based benefits. Companion SKILL-reference.md has logo guidelines, registry badges, use-case framing, and visual element guidance (loaded on demand) |
feature-benefits |
7-step codebase scanning workflow — extracts concrete features from code, translates to benefit-driven language across 5 categories (time saved, confidence gained, pain avoided, capability unlocked, cost reduced). Generates features and benefits sections, "Why [Project]?" content, and feature audit reports. Companion SKILL-signals.md has detailed signal category scan lists, JTBD mapping, persona inference, conversational path prompts, and per-ecosystem pattern libraries (loaded on demand) |
changelog |
Keep a Changelog format with language rules that rewrite conventional commits into user-facing benefit language. Maps feat: to Added, fix: to Fixed, etc. |
roadmap |
Roadmap structure from GitHub milestones with emoji status indicators, mission statement, and community involvement section |
pitchdocs-suite |
Full 20+ file inventory (README, CONTRIBUTING, CHANGELOG, CODE_OF_CONDUCT, SECURITY, AI context files, issue templates, PR templates, and more), GitHub metadata guidance, visual assets, licence selection framework, and ready-to-use templates |
llms-txt |
llmstxt.org specification reference for generating llms.txt and llms-full.txt — LLM-friendly content indices for AI coding assistants |
package-registry |
npm and PyPI metadata field auditing, cross-renderer README compatibility (GitHub vs npm vs PyPI), trusted publishing guidance, and registry-specific badges |
user-guides |
Task-oriented how-to documentation with Diataxis framework, guide frontmatter standard, title conventions, numbered steps, copy-paste-ready code, error recovery, and cross-linked hub pages. Companion file SKILL-templates.md provides tutorial, reference, and explanation templates. |
docs-verify |
Documentation validation — broken links, stale content, llms.txt sync, heading hierarchy, badge URLs, lightweight AI context health check, and CI-friendly output |
launch-artifacts |
Platform-specific launch content — Dev.to articles, HN posts, Reddit posts, Twitter threads, awesome list submissions |
api-reference |
API reference generator guidance — TypeDoc, Sphinx, godoc, rustdoc configuration templates and comment conventions |
doc-refresh |
Version-bump documentation orchestration — analyses git history, identifies affected docs, delegates AI context refresh to ContextDocs if installed |
visual-standards |
Visual formatting — emoji heading prefixes, horizontal rules, TOC anchors, callouts. Companion SKILL-reference.md has screenshot dimensions, HTML patterns, captions, shadows, image optimisation (loaded on demand) |
geo-optimisation |
GEO patterns for AI citation — citation capsules, crisp definitions, atomic sections, comparison tables, statistics, semantic scaffolding |
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 First seen · 97 lines · 2,373 tokens per session scan A 8fe369c74395
pitchdocs AGENTS.md is an instructions file published in the GitHub repository littlebearapps/pitchdocs (8 stars, last pushed 5mo ago), licensed MIT. It adds 2,373 tokens to every session, about $0.0095 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.
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