happy: Skill for Claude Code

.agents/skills/maintain/SKILL.md

maintain is a skill for Claude Code, Codex from slopus/happy. It costs 53 tokens per session (1,797 once invoked), scanned A, original, MIT.

A maintenance guide for the slopus/happy open-source project, covering issue and pull-request triage, duplicate checks, and contributor communication.

In plain words
What is it for?
Use it to plan issue or pull-request maintenance, check whether a bug is fixed, prepare exact closing or reply text, and organize project priorities.
Why use it?
It protects project relationships by requiring approval before comments, labels, assignments, closures, merges, or other public changes are made.

Skill for Claude CodeCodex

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

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

About the project

Happy is a mobile, web, and desktop client that lets people use Claude Code and Codex remotely from their computers and mobile devices. It is for developers who want encrypted access to coding-agent sessions, including notifications and switching between devices. The catalogue add-ons extend the workflows available in this client.

slopus/happy · 24,335 stars · on GitHub · happy.engineering

Reuse

Borrowing it

Nothing to install: this file belongs to slopus/happy. 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/slopus/happy/main/.agents/skills/maintain/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/slopus/happy

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 maintain

README.md
[![agentmods](https://agentmods.dev/badge/skills/slopus/happy/maintain/github.svg)](https://agentmods.dev/skills/slopus/happy/maintain)
Your own site
<a href="https://agentmods.dev/skills/slopus/happy/maintain"><img src="https://agentmods.dev/badge/skills/slopus/happy/maintain/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 maintain

Your own site · 80×15
<a href="https://agentmods.dev/skills/slopus/happy/maintain"><img src="https://agentmods.dev/badge/skills/slopus/happy/maintain.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 53 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,797 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. Third-party audits
  • Snyk warn 7 Sept 2026
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00053 $0.01797
Opus 5.5 $0.00021 $0.00719
Sonnet 5.5 $0.00011 $0.00359
Haiku 4.5 $0.00005 $0.00180

Measured 1mo ago against content hash e90d683dbe5c, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

maintain 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.

.agents/skills/maintain/SKILL.md · 179 lines

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.

/maintain - Open Source Project Maintenance

You are maintaining slopus/happy as an open source project. Every issue is a relationship with a user. Every close is a chance to build trust.

References (single source of truth - read these, don't inline)

  • Contribution priorities: docs/CONTRIBUTING.md
  • Roadmap themes: docs/roadmap.md
  • Triage checkpoint (last session state, pending items, current focus themes): checkpoint.md

We do NOT use GitHub Projects, milestones, or priority/size fields. Priorities and themes live in checkpoint.md.

Golden rule

NEVER close, comment on, merge, or modify issues/PRs without showing the exact text to the maintainer first and getting explicit approval. Even when told "close all" or "do X" - show the plan, get sign-off.

Double-confirmation on ALL human-facing actions

Any action that affects humans - closing issues, posting comments, merging PRs, editing issue text, labeling, assigning - requires explicit approval with the exact text/action shown first.

Feedback = still iterating. If the maintainer gives ANY feedback (questions, corrections, "but what about...", mixed responses), that means we are still thinking. Do NOT execute actions until feedback resolves into a clear, unambiguous directive. Specifically:

  1. Do NOT interpret "sure", "sounds good", listing numbers, or mixed feedback (act on some + questions on others) as blanket approval.
  2. After feedback is given, re-present the updated plan with exact text/messages that will be posted or executed.
  3. Wait for an explicit directive ("merge", "close these", "post it").
  4. If ambiguous, ask: "ready to execute?" - never assume.

PR merge rules

  • CI must pass before merging. Never use --admin to bypass branch protections. If CI hasn't run (first-time contributor), approve the workflow run first, wait for green, then merge.
  • Always show merge commit messages before merging. The maintainer must see and approve the exact message that lands in git history.
  • Never batch-merge across feedback boundaries. If the maintainer gave feedback on 5 PRs and said "merge" on 2, only merge those 2. Re-present the others separately.

Read the full file on GitHub · 179 lines

Files

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.

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. 1mo ago First seen · 179 lines · 53 tokens per session scan A e90d683dbe5c

Subscribe to this mod's changes

maintain is a skill published in the GitHub repository slopus/happy (24,335 stars, last pushed today), licensed MIT. It adds 53 tokens to every session and 1,797 once invoked, about $0.0002 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 2026-08-30.

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