Hope Agent is a cross-device personal AI assistant that remembers context, uses tools, and continues working toward goals through dynamically organized workflows. Individuals use it from desktop, web, server, or messaging environments to manage projects, knowledge, designs, and long-running tasks. The catalogue add-ons extend its agent workflows and capabilities.
Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add shiwenwen/hope-agent --skill ha-coding-commongit clone --depth 1 https://github.com/shiwenwen/hope-agentWrote 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/shiwenwen/hope-agent/ha-coding-common)<a href="https://agentmods.dev/skills/shiwenwen/hope-agent/ha-coding-common"><img src="https://agentmods.dev/badge/skills/shiwenwen/hope-agent/ha-coding-common/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/skills/shiwenwen/hope-agent/ha-coding-common"><img src="https://agentmods.dev/badge/skills/shiwenwen/hope-agent/ha-coding-common.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00039 | $0.00833 |
| Opus 5.5 | $0.00016 | $0.00333 |
| Sonnet 5.5 | $0.00008 | $0.00167 |
| Haiku 4.5 | $0.00004 | $0.00083 |
Grade A, and why
ha-coding-common 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 — 95 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Hope Coding Common
Use this as the default discipline for coding work. Load a narrower ha-*
coding skill when planning, debugging, testing, review, multi-agent execution,
verification, or Workflow authoring is the real center of the task.
Precedence
- Follow the user's current request.
- Read and follow the nearest
AGENTS.mdand repository instructions. - Preserve existing architecture and local conventions unless the task requires changing them.
- Treat this skill as methodology only. It never grants permissions, changes a mode, or overrides a runtime safety gate.
Start From Evidence
- Inspect the worktree, relevant files, nearby tests, and existing docs before choosing an implementation.
- Search with
rg/rg --fileswhen available; read surrounding code rather than editing from a single match. - Assume uncommitted changes may belong to the user. Never revert, overwrite, or reformat unrelated work.
- Prefer existing helpers, error types, state models, and ownership boundaries.
Size The Work
Small and clear
Act directly when the behavior, owning file, and verification path are obvious. Do not create a formal plan, new abstraction, or subagent ceremony merely because the task is coding.
Multi-step or uncertain
Use ha-coding-plan when the change spans ownership boundaries, has ordering
constraints, carries migration risk, or needs explicit completion criteria. In
normal execution mode, continue implementing after the plan when the next action
is clear. Plan Mode remains read-only.
Specialized work
- Bug, regression, crash, or failing test:
ha-debug. - Test design or regression coverage:
ha-test-strategy. - Review request:
ha-code-review. - Independent fan-out with meaningful parallel benefit:
ha-multi-agent-coding. - Proof of completion:
ha-verify. - Durable
workflow.js:ha-workflow-script.
Load the smallest useful set. Do not activate every coding skill up front.
Control-Plane Boundaries
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 · 95 lines · 39 tokens per session scan A bf92be177859
ha-coding-common is a skill published in the GitHub repository shiwenwen/hope-agent (1,858 stars, last pushed today), licensed MIT. It adds 39 tokens to every session and 833 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.
Other skills, from other repositories
technology-search
Search tech blogs, developer forums, and IT media (TechCrunch, Hacker News, 36氪, etc.) for software and hardware industry updates with heat ranking and EN↔CN translation. Use this skill only when the topic is clearly about programming, software, hardware, AI, or IT infrastructure.
develop-web-game
Use when Codex is building or iterating on a web game (HTML/JS) and needs a reliable development + testing loop: implement small changes, run a Playwright-based test script with short input bursts and intentional pauses, inspect screenshots/text, and review console errors with rendergametotext.
imap-smtp-email
Read and send email via IMAP/SMTP. Check for new/unread messages, fetch content, search mailboxes, mark as read/unread, and send emails with attachments. Works with any IMAP/SMTP server including Gmail, Outlook, 163.com, vip.163.com, 126.com, vip.126.com, 188.com, and vip.188.com.
article-writer
Multi-style article creation skill. Supports 5 writing styles (deep analysis, practical guide, story-driven, opinion, news brief), including complete workflow: material collection → outline → content → formatting. Activated when users mention "write article", "write post", "create", or "draft".
skin-creator
Create and apply a two-asset LobsterAI visual skin from the user's style description. Use only when the AI Skin Designer kit supplies the structured skinpack workflow marker; do not use for ordinary theme or image requests.
content-planner
WeChat Official Account topic planning and content calendar management. Based on WeChat article search and trending analysis, generates differentiated topic recommendations and outputs structured content calendars. Activated when users mention "topic", "planning", "content calendar", "trending", or "what to write next…