happier: Skill for Claude Code

.agents/skills/happier-instruction-eval/SKILL.md

happier-instruction-eval is a skill for Claude Code, Codex from happier-dev/happier. It costs 65 tokens per session (940 once invoked), scanned A, original, MIT.

A controlled way to compare two or more instruction or skill versions by giving agents the same practical tasks and scoring their observable behavior.

In plain words
What is it for?
Use it to run blinded comparisons of agent instructions and produce an advisory summary for a human decision.
Why use it?
It replaces opinions about wording with evidence about whether instructions change routing, implementation, testing, or reporting.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: installed under .agents/ (shared by several agents); mentions AGENTS.md.

This is happier-dev/happier's own configuration. It tells Claude Code and Codex how to work on happier 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 happier configures →

About the project

Happier is an open-source, end-to-end encrypted client that lets people run AI coding-agent sessions on a computer and continue controlling them from a phone, browser, or desktop app. It is for developers who use agents such as Claude Code, Codex, Gemini, or OpenCode across multiple devices, with self-hosting available. The catalogue entries are add-ons for configuring or extending this client and its supported coding-agent workflows.

happier-dev/happier · 1,624 stars · on GitHub · happier.dev

Reuse

Borrowing it

Nothing to install: this file belongs to happier-dev/happier. 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/happier-dev/happier/dev/.agents/skills/happier-instruction-eval/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/happier-dev/happier

Made for: Claude Code, 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 happier-instruction-eval

README.md
[![agentmods](https://agentmods.dev/badge/skills/happier-dev/happier/happier-instruction-eval.svg)](https://agentmods.dev/skills/happier-dev/happier/happier-instruction-eval)
Your own site
<a href="https://agentmods.dev/skills/happier-dev/happier/happier-instruction-eval"><img src="https://agentmods.dev/badge/skills/happier-dev/happier/happier-instruction-eval.svg" alt="Measured on agentmods" height="20"></a>
Per session 65 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 940 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found 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 $0.00065 $0.00940
Opus 5 $0.00032 $0.00470
Sonnet 5 $0.00013 $0.00188
Haiku 4.5 $0.00006 $0.00094

Measured yesterday against content hash 408b9b639176, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

happier-instruction-eval 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 yesterday.

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.

.agents/skills/happier-instruction-eval/SKILL.md · 81 lines

How it starts

The opening of the file, as written. The whole thing — 81 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Happier Instruction Evaluation

Evaluate whether instruction wording changes agent behavior without telling the agents they are being evaluated. This workflow is advisory: it produces evidence for a human decision and never edits the canonical instruction owner by itself.

1. Establish the decision

Name:

  • the instruction owner and variants being compared, including the current baseline;
  • the concrete behavior the change is meant to improve or failure it is meant to prevent;
  • one organic task or a small risk-selected set of tasks that can expose that difference;
  • a rubric of observable outcomes fixed before any run;
  • the user decision the evidence will inform.

Do not evaluate prose elegance in isolation. A useful task forces the instruction to affect routing, investigation, ownership, implementation shape, validation, stopping, or reporting. Skip evaluation when a source inspection or deterministic check can decide the question directly.

2. Control the comparison

Hold constant everything except the instruction variant when practical:

  • use the same task prompt, repository basis, allowed tools, permissions, time/effort budget, and available evidence;
  • give each run only the ordinary context an agent would receive for that task;
  • label variants and output locations neutrally so neither runner nor judge sees “baseline,” “preferred,” model identity, or another run's existence;
  • isolate writes in separate temporary directories or authorized worktrees; never switch, clean, reset, stash, or overwrite the primary shared checkout;
  • prevent external mutations, destructive actions, secrets, and sensitive-data access unless the user separately authorizes that exact evaluation surface.

Do not freeze or package a release representation. Temporary instruction variants and isolated outputs are test inputs, not release artifacts.

3. Keep runners blind

Each runner receives an organic-looking engineering request, not an evaluation brief. Do not mention the rubric, competing variants, expected lesson, or favored outcome. Do not ask the runner whether it followed the instruction.

Read the full file on GitHub · 81 lines

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. yesterday Changed 408b9b639176
  2. 3d ago First seen · 81 lines · 65 tokens per session scan A 6d6d488ade90

Subscribe to this mod's changes

happier-instruction-eval is a skill published in the GitHub repository happier-dev/happier (1,624 stars, last pushed yesterday), licensed MIT. It adds 65 tokens to every session and 940 once invoked, about $0.0003 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 2026-09-03.

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