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Feynman Technique study session for OpenAlgernon. Use when the user runs `/algernon feynman [SLUG]`, says "feynman", "quero explicar conceitos", "me testa ex...

开发与 DevOps

作者:Antonio V. Franco @antoniovfranco

许可证:MIT-0

MIT-0 ·免费使用、修改和重新分发。无需归因。

版本:v1.0.0

统计:⭐ 0 · 64 · 0 current installs · 0 all-time installs

0

安装量(当前) 0

🛡 VirusTotal :可疑 · OpenClaw :可疑

Package:antoniovfranco/algernon-feynman

安全扫描(ClawHub)

  • VirusTotal :可疑
  • OpenClaw :可疑

OpenClaw 评估

The skill's stated purpose (run Feynman study sessions) is plausible, but the runtime instructions access local data and optional external tooling (sqlite3, notion-cli, local DB and memory files) while the skill metadata declares no required env/configs or binaries — an incoherence worth reviewing before installing.

目的

The SKILL.md behavior (select cards from a local SQLite DB, run sessions, save session memory, optionally call a Notion CLI) fits the described Feynman-session purpose — reading a study DB and saving session notes is expected. However, the registry metadata declares no required binaries, env vars, or config paths while the instructions assume sqlite3, ALGERNON_HOME (~/.openalgernon), DB at ${ALGERNON_HOME}/data/study.db, and an optional NOTION…

说明范围

Runtime instructions explicitly run sqlite3 against a local DB, append a session line to a memory file under ${ALGERNON_HOME}/memory/conversations/YYYY-MM-DD.md, and optionally invoke an external CLI (notion-cli) to append content to a Notion page. These steps read local user data and write files; they also call an external tool that could transmit data. The instructions do not declare these file/CLI accesses in the skill metadata, nor do they…

安装机制

Instruction-only skill with no install spec and no code files. This is low-risk from an install/extraction perspective (nothing downloaded or written by an installer).

证书

The skill references environment/config items (ALGERNON_HOME, DB path, NOTION_CLI, NOTION_PAGE_ID, and the sqlite3 binary) but the registry lists no required env vars or primary credential. NOTION_CLI and NOTION_PAGE_ID imply external credentials or tokens that are not declared. The absence of declared required env/configs is disproportionate and reduces transparency about what secrets or access the skill will use.

持久

The skill does not request always: true and does not modify other skills. It writes session summaries to a file under its own ALGERNON_HOME path and may call notion-cli to append to a remote page — both are reasonable for a study session skill, but the user should expect local files to be created/updated and optional remote posting if NOTION variables are present.

安装(复制给龙虾 AI)

将下方整段复制到龙虾中文库对话中,由龙虾按 SKILL.md 完成安装。

请把本段交给龙虾中文库(龙虾 AI)执行:为本机安装 OpenClaw 技能「Algernon Feynman」。简介:Feynman Technique study session for OpenAlgernon. Use when the user runs `/alge…。
请 fetch 以下地址读取 SKILL.md 并按文档完成安装:https://raw.githubusercontent.com/openclaw/skills/refs/heads/main/skills/antoniovfranco/algernon-feynman/SKILL.md
(来源:yingzhi8.cn 技能库)

SKILL.md

打开原始 SKILL.md(GitHub raw)

---
name: algernon-feynman
version: "1.0.0"
description: >
  Feynman Technique study session for OpenAlgernon. Use when the user runs
  `/algernon feynman [SLUG]`, says "feynman", "quero explicar conceitos",
  "me testa explicando", "tecnica feynman", "ensinar para aprender",
  or "quero consolidar [material]". The goal is to expose gaps in understanding
  by making the user teach concepts back in their own words.
---

# algernon-feynman

You run a Feynman Technique session: the user explains concepts aloud, you
identify gaps without giving away the answer, and you use Socratic questions to
push them to fill those gaps themselves. Only reveal the reference answer after
two attempts.

## Constants

```bash
ALGERNON_HOME="${ALGERNON_HOME:-$HOME/.openalgernon}"
DB="${ALGERNON_HOME}/data/study.db"
NOTION_CLI="${NOTION_CLI:-notion-cli}"
```

## Step 1 — Select Concepts

Query cards for the material, preferring N2 and N3 level cards (they have richer
reference content). Select 3-5 concepts for this session.

```bash
sqlite3 "$DB" 
  "SELECT c.id, c.front, c.back, c.tags
   FROM cards c
   JOIN decks d ON d.id = c.deck_id
   JOIN materials m ON m.id = d.material_id
   WHERE m.slug = 'SLUG'
   ORDER BY
     CASE WHEN c.tags LIKE '%N3%' THEN 1
          WHEN c.tags LIKE '%N2%' THEN 2
          ELSE 3 END,
     RANDOM()
   LIMIT 5;"
```

If no cards found: "No cards found for 'SLUG'. Run `texto SLUG` first to generate cards."

## Step 2 — For Each Concept

### Present

AskUserQuestion (free text):
> "Explain [CONCEPT] as if you were teaching someone with no background in this area. Take your time."

### Evaluate Across Three Dimensions

After the user answers, evaluate internally (do not share the scoring rubric):

1. **Accuracy** — Is the core claim correct? Does it match the reference answer?
2. **Depth** — Does the explanation go beyond restating the definition? Does it cover the "why"?
3. **Transfer** — Does the user use an original analogy, metaphor, or real-world example?

### If All Three Dimensions Pass

Respond: "Solid explanation. [1-sentence observation about what was particularly strong.]"
Advance to the next concept.

### If Any Dimension Fails

Do not reveal the reference answer yet. Ask one Socratic follow-up targeting the
weakest dimension:

- Failed accuracy: "You said [claim]. What happens in the case where [counterexample]?"
- Failed depth: "What would break if you removed [key component] from your explanation?"
- Failed transfer: "Can you give me a concrete example of where you'd see this in a real system?"

Allow one more attempt. After the second attempt:
- If passing — acknowledge and proceed.
- If still failing — reveal the reference answer and name the gap explicitly:
  "The missing piece was: [specific concept from the reference answer]."

## Step 3 — Session Summary

```
Feynman session complete -- MATERIAL_NAME
Concepts: N
All three dimensions passed: X/N
Partial passes (needed one probe): Y/N
Needs more work: [list of concepts that required two attempts or failed]
```

### Save to Notion (optional)

If `$NOTION_CLI` is available and `$NOTION_PAGE_ID` is set:

```bash
"$NOTION_CLI" append --page-id "$NOTION_PAGE_ID" --content "MARKDOWN"
```

Include: session date, per-concept result (pass/partial/fail), weak points identified,
suggested review focus.

### Save Memory

```bash
echo "[HH:MM] feynman session -- MATERIAL_NAME | Concepts: N | Passed: X | Needs work: LIST" 
  >> "${ALGERNON_HOME}/memory/conversations/YYYY-MM-DD.md"
```