freddie: Skill for Codex

.agents/skills/freddie-prose-standard/SKILL.md

freddie-prose-standard is a skill for Codex from AnEntrypoint/freddie. It costs 57 tokens per session (1,771 once invoked), scanned A, a copy of dsh-prose-standard, MIT.

A writing standard for prose in the Freddie repository, including documentation, comments, prompts, descriptions, diagnostics, and interface text. It focuses on stating the rules and guarantees that other code or people rely on.

In plain words
What is it for?
Use it to write or review repository prose, document non-obvious behavior, clarify required inputs and failure states, and remove unnecessary or session-specific text.
Why use it?
It prevents repetitive explanations, decorative wording, and reasoning transcripts while preserving important behavior and compatibility details. It also helps decide when a comment adds information that the code cannot show.

Skill for Codex

Written for Codex: agents/openai.yaml present. Also seen: installed under .agents/ (shared by several agents); mentions AGENTS.md.

This is AnEntrypoint/freddie's own configuration. It tells Codex how to work on freddie itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything freddie configures →

Reuse

Borrowing it

Nothing to install: this file belongs to AnEntrypoint/freddie. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/AnEntrypoint/freddie/main/.agents/skills/freddie-prose-standard/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/AnEntrypoint/freddie

Made for: Codex.

Wrote 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.

agentmods badge for freddie-prose-standard

README.md
[![agentmods](https://agentmods.dev/badge/skills/anentrypoint/freddie/freddie-prose-standard/github.svg)](https://agentmods.dev/skills/anentrypoint/freddie/freddie-prose-standard)
Your own site
<a href="https://agentmods.dev/skills/anentrypoint/freddie/freddie-prose-standard"><img src="https://agentmods.dev/badge/skills/anentrypoint/freddie/freddie-prose-standard/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.

agentmods 80×15 button for freddie-prose-standard

Your own site · 80×15
<a href="https://agentmods.dev/skills/anentrypoint/freddie/freddie-prose-standard"><img src="https://agentmods.dev/badge/skills/anentrypoint/freddie/freddie-prose-standard.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 57 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,771 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 84% copy Near-identical to another mod in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00057 $0.01771
Opus 5 $0.00028 $0.00886
Sonnet 5 $0.00011 $0.00354
Haiku 4.5 $0.00006 $0.00177

Measured 2d ago against content hash 71bdbe50aa11, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

freddie-prose-standard 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 2d 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.

Origin

This is a copy

84% identical to dsh-prose-standard — 12 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

.agents/skills/freddie-prose-standard/SKILL.md · 82 lines

How it starts

The opening of the file, as written. The whole thing — 82 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Freddie Prose Standard

Write enough to preserve the contract, then remove reasoning transcripts, repetition, and decoration. A contract is an obligation, invariant, precondition, postcondition, or compatibility promise that a caller, callee, implementer, producer, or consumer relies on. This skill owns editorial judgment and required prose coverage; use freddie-doc-standards for placement, budgets, and documentation gates, and freddie-trim-cot-leakage for hunting and fixing reasoning-transcript leakage. It is guidance, not a script.

Treat contract, boundary, shape, surface, seam, gate, and vocabulary as terms to check before use, not banned words. First ask whether the exact rule, API, field set, type, validation, timing point, component split, or failure states the fact better. Keep a term when it names the exact technical subject, including caller/callee contracts and security/process boundaries.

Comments describe non-obvious contracts or rationale that code cannot express; they do not restate what code already implies.

Inputs and exclusions

Require an explicit scope. If it is missing, report the required input and stop; do not infer a repository-wide scope or begin an interview.

Accept mode: automatic | interactive; default to automatic. Enter interactive mode only when the user explicitly requests questions or calibration.

mode controls questions, not write authority. Review and audit tasks report findings without editing; explicitly requested write, fix, or trim tasks apply clear changes.

Always exclude vendor/ from discovery, review, and edits, even when the requested scope is the whole repository. Do not follow a symlink into it. Put exclusions after inclusion globs so a later include cannot re-admit it: for example, end ripgrep commands with --glob '!vendor/**', and give Git commands an explicit :(exclude)vendor/** pathspec. If the requested scope contains only vendor/, report that no eligible files remain.

Read the full file on GitHub · 82 lines

Files

What ships with it

2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

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.

  1. 2d ago First seen · 82 lines · 57 tokens per session scan A 71bdbe50aa11

Subscribe to this mod's changes

freddie-prose-standard is a skill published in the GitHub repository AnEntrypoint/freddie (0 stars, last pushed 2d ago), licensed MIT. It adds 57 tokens to every session and 1,771 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 84% identical to dsh-prose-standard, differing in 12 lines, and is treated as a copy.

Related

Other skills, from other repositories

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

local-ai-agents

Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…

microsoft/ai-agents-for-beginners · 200 tokens

next-cache-components-adoption

Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…

vercel/next.js · 95 tokens

insight-error-page

Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…

vercel/next.js · 83 tokens

next-cache-components-optimizer

Drive a Next.js route to instant navigation by setting up an agentic loop, under Cache Components / PPR, on initial load (hard navigation) and client-side navigation (soft navigation). Encode the goal as a failing @next/playwright instant() e2e and work it to green, one verified route at a time; the shipped test then…

vercel/next.js · 170 tokens

next-partial-prefetching-adoption

Turn on Partial Prefetching in a Next.js app and work through the insights it surfaces. Use when the user wants to enable or adopt Partial Prefetching, flip the partialPrefetching flag, opt routes in with export const prefetch = 'partial', audit Link prefetch={true} behavior, preserve existing prefetched UI with…

vercel/next.js · 103 tokens