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.
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.
curl -O https://raw.githubusercontent.com/happier-dev/happier/dev/.agents/skills/happier-plan/SKILL.mdgit clone --depth 1 https://github.com/happier-dev/happierWrote 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/skills/happier-dev/happier/happier-plan)<a href="https://agentmods.dev/skills/happier-dev/happier/happier-plan"><img src="https://agentmods.dev/badge/skills/happier-dev/happier/happier-plan.svg" alt="Measured on agentmods" 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 | $0.00034 | $0.03365 |
| Opus 5 | $0.00017 | $0.01682 |
| Sonnet 5 | $0.00007 | $0.00673 |
| Haiku 4.5 | $0.00003 | $0.00336 |
Grade A, and why
happier-plan 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.
How it starts
The opening of the file, as written. The whole thing — 179 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Happier Plan
Create a repository plan only on an explicit current-user request. Planning is a human-controlled product/design decision, not an agent-selected prerequisite. Do not invoke this skill to implement an existing plan, update ordinary execution status, review completed work, or create an internal ephemeral checklist.
1. Establish authorization and mode
Classify the explicit request as one of:
CREATE: author a new repository plan;REFINE: materially change a draft or approved plan as the user requested;REPLACE: supersede an existing plan with a user-requested successor;AMEND: record a user-approved change to an approved execution contract.
If the user did not explicitly request one of these, do not create or materially edit a plan file. A reviewer or implementation agent may recommend a plan/amendment, but only the user can authorize creating it or changing its approved contract. A successor references its predecessor and explicitly preserves, changes, or retires still-applicable material decisions; do not mechanically transcribe historical tasks, findings, or markers.
Plan authoring does not authorize implementation. If the user asked only for a plan, stop after presenting the draft. If the user requested both planning and implementation, present the plan for approval before treating it as the execution contract unless the user explicitly waived that checkpoint.
2. Recover the real intent before designing
State the outcome beneath the literal request:
- user-visible or operational problem;
- invariant or capability that must hold afterward;
- affected users/components and real workflows;
- explicit exclusions and non-goals;
- compatibility, security, performance, accessibility, platform, and rollout constraints that are actually reachable;
- evidence that will distinguish success from a plausible incomplete implementation.
Separate observed facts, derived conclusions, assumptions, and unresolved user decisions. Resolve decision-material ambiguity before finalizing a design; do not bury it as an implementation detail.
What ships with it
1 file 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.
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.
- yesterday Changed 25cf1a76a316
- 3d ago First seen · 179 lines · 34 tokens per session scan A 30b37589a0fb
happier-plan is a skill published in the GitHub repository happier-dev/happier (1,624 stars, last pushed yesterday), licensed MIT. It adds 34 tokens to every session and 3,365 once invoked, about $0.0002 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.
Other skills, from other repositories
quality
Evaluates whether a GitHub issue is spam, empty, needs more information, or is OK to proceed.
multi-agent
Multi-Agent Orchestration - 蚁群仿生设计，定义Agent角色、生命周期、信息素通信、任务分解、冲突解决。当需要多Agent并行协作时路由到此。.
conductor-new-track
Plans a new track (feature or bug fix), generates spec/plan documents, and updates the registry.
agtx-sweep
Sweep this conversation into agtx tasks and push them to the kanban board. Use when the user wants to capture, decompose, or hand off conversation results to the agtx board.
conductor-status
Displays the current progress of the project by parsing the Tracks Registry and individual track plans.
close-task-commit-push-pr
Close the active backlog task (detected from branch name), commit all changes, push to remote, and open a pull request. Use when the user says "close task and ship it", "close task commit push pr", or invokes /close-task-commit-push-pr.