Borrowing it
Nothing to install: this file belongs to leihuang830102-hash/Opencode-Howto. 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/leihuang830102-hash/Opencode-Howto/master/.opencode/skills/self-assessment/SKILL.mdgit clone --depth 1 https://github.com/leihuang830102-hash/Opencode-HowtoWrote 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/leihuang830102-hash/opencode-howto/self-assessment)<a href="https://agentmods.dev/skills/leihuang830102-hash/opencode-howto/self-assessment"><img src="https://agentmods.dev/badge/skills/leihuang830102-hash/opencode-howto/self-assessment.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 | $0.00078 | $0.02403 |
| Opus 5 | $0.00039 | $0.01202 |
| Sonnet 5 | $0.00016 | $0.00481 |
| Haiku 4.5 | $0.00008 | $0.00240 |
Grade A, and why
self-assessment 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 7d 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 — 275 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Self-Assessment & Learning Path Advisor
这是一个完整的 OpenCode 交互式自测 skill，用来评估用户在 10 个能力域上的熟练度，并据此生成个性化学习路径。
Instructions
Step 1: 先让用户选择评估模式
使用 question tool 提供两个选项：
- Quick Assessment：8 个问题，约 2 分钟，用于快速判断 Beginner / Intermediate / Advanced
- Deep Assessment：5 轮问题，约 5 分钟，用于分别评估 10 个主题的掌握情况
如果用户选择 Quick Assessment，进入 Step 2A。
如果用户选择 Deep Assessment，进入 Step 2B。
Step 2A: Quick Assessment
使用两个多选问题完成快速自测，每个问题最多 4 个选项。
Question 1（header: Basics）
Prompt:
Part 1/2: Which of these OpenCode skills do you already have?
Options:
Start OpenCode and chat— 我会运行opencode并进入对话Created/edited AGENTS.md— 我配置过项目或个人 memoryUsed 3+ slash commands— 例如/help、/compact、/modelCreated custom command/skill— 写过SKILL.md或.opencode/commands/
Question 2（header: Advanced）
Prompt:
Part 2/2: Which of these advanced skills do you have?
Options:
Configured an MCP server— 配置过 GitHub、数据库或其他外部数据源Set up hooks— 用 JS/TS 编写过插件模块，放到.opencode/plugins/目录Created/used subagents— 使用过.opencode/agents/Used print mode (opencode run)— 用过非交互模式或 CI/CD 集成
Quick 模式评分：
- 0-2 项：Level 1 — Beginner
- 3-5 项：Level 2 — Intermediate
- 6-8 项：Level 3 — Advanced
进入 Step 3A 输出结果，并列出未勾选项作为短板。
Step 2B: Deep Assessment
Deep 模式共 5 轮，每轮 1 个多选问题，每题最多 4 个选项，每轮覆盖 2 个主题。
Round 1 — Slash Commands & Memory
Header: Commands
Prompt:
Which of these have you done? Select all that apply.
Options:
Created a custom slash command or skill— 写过带 frontmatter 的SKILL.md或.opencode/commands/文件Used dynamic context in commands— 用过$ARGUMENTS、$0/$1、!command、@fileSet up project + personal memory— 同时配置过项目级和个人级AGENTS.mdUsed memory hierarchy features— 理解层级优先级、用过.opencode/rules/、path-specific rules 或@import
Scoring:
- 1-2 映射到 Slash Commands（0-2）
- 3-4 映射到 Memory（0-2）
Round 2 — Skills & Hooks
Header: Automation
Options:
Installed and used an auto-invoked skill— 使用过自动触发的 skillControlled skill invocation behavior— 用过disable-model-invocation、user-invocable或context: forkSet up a tool.execute.before or tool.execute.after hook— 用 JS/TS 编写过插件事件处理器Used advanced hook features— 用过 30+ 插件事件（session.*,shell.env,tui.*）、custom tools、experimental.session.compacting
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.
- 7d ago First seen · 275 lines · 78 tokens per session scan A fbaf95e455cd
self-assessment is a skill published in the GitHub repository leihuang830102-hash/Opencode-Howto (5 stars, last pushed 4mo ago), licensed MIT. It adds 78 tokens to every session and 2,403 once invoked, about $0.0004 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 2026-08-31.
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