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 wpsnote/wpsnote-skills --skill misconception-findergit clone --depth 1 https://github.com/wpsnote/wpsnote-skillsWrote 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/wpsnote/wpsnote-skills/misconception-finder)<a href="https://agentmods.dev/skills/wpsnote/wpsnote-skills/misconception-finder"><img src="https://agentmods.dev/badge/skills/wpsnote/wpsnote-skills/misconception-finder/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/wpsnote/wpsnote-skills/misconception-finder"><img src="https://agentmods.dev/badge/skills/wpsnote/wpsnote-skills/misconception-finder.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00079 | $0.00469 |
| Opus 5.5 | $0.00032 | $0.00188 |
| Sonnet 5.5 | $0.00016 | $0.00094 |
| Haiku 4.5 | $0.00008 | $0.00047 |
Grade A, and why
misconception-finder 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.
What it actually says
WPS Misconception Finder 2.0
Follow the shared workflow in ../wps-learning-workflow.md.
Inputs
- 一篇 WPS 学习笔记、解释稿或复习笔记
- 可选的主题标签
- 可选的教材摘要、答案要点或参考资料
Output
A structured WPS-ready 误解诊断结果，包含问题定位、修正建议和小型自测问题。
What this skill should produce
这是一个“诊断 + 修复”型 skill，不是语言润色器。
建议包含这些部分：
overall understanding diagnosishigh-confidence errorspossible misunderstandingsmissing evidence or examplesbetter phrasing for understanding repairmini self-test
WPS-first rules
- 尽量引用用户笔记里的原句，告诉用户具体哪里出了问题。
- 修正建议要能直接回填到笔记里，而不是只给抽象评价。
- 每个关键误解最好都附一条自测题，方便立刻验证。
Quality rules
- 明确区分 clearly wrong、likely confused、too vague to trust。
- 低置信度的问题要说明为什么只是“可能误解”。
- “better phrasing” 的目标是修正理解，不是把句子写得更华丽。
Do not use when
- 用户只是想润色文字表达
- 原始笔记内容太薄，无法支撑有效诊断
- 用户真正要做的是前置知识缺口分析
Recommended next skill
Usually recommend:
notes-to-flashcardsprerequisite-gap-finder
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 · 58 lines · 79 tokens per session scan A 9d11c0d2a749
misconception-finder is a skill published in the GitHub repository wpsnote/wpsnote-skills (183 stars, last pushed yesterday), licensed MIT. It adds 79 tokens to every session and 469 once invoked, about $0.0003 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
promentor
A tool that turns a software project into a hands-on course in the style of an MIT course. It can produce lessons, code walkthroughs, practical labs, behavior tests, grading, explanations, and AI reviews.
learn
Learn a source together with the user and record only what they understood as a new page in this Scraps wiki. Explains the source with a diagram anchored on the pages the wiki already has, checks comprehension with questions, then writes one page from the points that passed; when understanding is not reached, nothing…
teach-zh
A teaching workflow for helping a user learn a subject over multiple sessions. It stores the learner’s goals, reference material, lessons, notes, and learning records in the current workspace.
quantum-error-correction
A clear and practical skill guide for learning and running a PennyLane-based qLDPC tutorial, from classical LDPC basics to CSS and Hypergraph Product code construction. Skill-first for covered code generation, runnable examples, execution, debugging, validation, and fixed workflows.
grilling
Grill the user relentlessly about a plan, decision, or idea. Use when the user wants to stress-test their thinking, or uses any 'grill' trigger phrases.
growth-log
Use after a complex task, failure, or when reviewing what was learned. Teaches how to write growth logs that extract reusable patterns — not diary entries.