context-recall SKILL.md skillA
context-recall from hashgraph-online/awesome-codex-plugins is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add hashgraph-online/awesome-codex-plugins/context-recall@git:20260512.6523792Pins git:20260512.6523792 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- hashgraph-online/awesome-codex-plugins
- Path
plugins/Colin4k1024/tsp/skills/context-recall/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260512.6523792, committed May 12, 2026
- Size
- 4,673 bytes
- Repository stars
- 1,537
- License
- Apache-2.0
按需召回已归档的上下文细节：支持按关键词、阶段、类型和决策维度检索， 从 L2 归档和 Phase Ledger 中恢复压缩丢失的信息。.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# Context Recall Skill
按需召回已归档的上下文细节，从 L2 归档索引和 Phase Ledger 中恢复压缩过程中被移出工作记忆的信息。
## 何时激活
- 用户输入 `/recall` 命令
- 需要恢复早期对话中的代码细节、工具输出或决策上下文
- 当前上下文中缺少之前阶段的关键信息
- 用户提到"之前讨论过"、"之前的方案"、"找一下之前的…"等表述
## 使用方式
### 基本命令
```
/recall <keyword> # 按关键词搜索归档
/recall phase:<phase_name> # 按阶段召回（如 phase:implementation）
/recall type:<element_type> # 按类型召回（如 type:tool_result）
/recall decisions # 召回所有决策记录
/recall timeline # 显示阶段时间线概览
```
### 组合查询
```
/recall phase:design keyword # 在 design 阶段中搜索关键词
/recall type:code_change api # 在代码变更中搜索 api 相关内容
```
## 核心功能
### 1. 关键词召回
从 L2 归档索引中按关键词匹配，返回相关的归档元素摘要和完整内容引用。
**工作原理**:
1. 搜索 `~/.claude/memory/sessions/{sid}/index.json` 中的 keywords 字段
2. 按匹配度排序返回结果
3. 提供 L1 摘要和 L2 完整内容的访问路径
### 2. 阶段召回
从 Phase Ledger 中按阶段名称检索，返回该阶段的结构化交接记录。
**输出包含**:
- 阶段目标与完成情况
- 关键决策列表
- 代码变更清单
- 未解决项
### 3. 决策召回
跨所有阶段收集决策记录，构建完整的决策链路。适用于需要理解"为什么这样做"的场景。
### 4. 类型召回
按上下文元素类型检索：
- `tool_result`: 工具执行结果
- `assistant_message`: 助手回复
- `user_message`: 用户消息
- `code_change`: 代码变更
- `decision`: 决策记录
## 技术实现
### 依赖模块
| 模块 | 路径 | 职责 |
|------|------|------|
| `context_recall` | `scripts/lib/context_recall.py` | 召回逻辑核心 |
…Read the whole file at its exact version.
How to install
mdr add hashgraph-online/awesome-codex-plugins/context-recall@sha256:205283b649d1b303The line at the top of this page pins the label git:20260512.6523792, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_uf43akfawmv5oslb)
5 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 1 version of this file, committed on May 12, 2026.
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (4673 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
hashgraph-online/awesome-codex-plugins · 1,537 stars · license Apache-2.0 · pushed 2026-11-08 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_uf43akfawmv5oslb GET https://markdownregistry.com/api/v1/resolve?ref=hashgraph-online/awesome-codex-plugins/context-recall GET https://markdownregistry.com/api/v1/blob/205283b649d1b303e5db16da04092afff76276ef74e7bd007d5061ab3b64d9c3
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.