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 hashgraph-online/awesome-codex-plugins --skill context-recallgit clone --depth 1 https://github.com/hashgraph-online/awesome-codex-pluginsWrote 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/hashgraph-online/awesome-codex-plugins/context-recall)<a href="https://agentmods.dev/skills/hashgraph-online/awesome-codex-plugins/context-recall"><img src="https://agentmods.dev/badge/skills/hashgraph-online/awesome-codex-plugins/context-recall/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/hashgraph-online/awesome-codex-plugins/context-recall"><img src="https://agentmods.dev/badge/skills/hashgraph-online/awesome-codex-plugins/context-recall.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 | $0.00050 | $0.01364 |
| Opus 5 | $0.00025 | $0.00682 |
| Sonnet 5 | $0.00010 | $0.00273 |
| Haiku 4.5 | $0.00005 | $0.00136 |
Grade A, and why
context-recall 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 3d 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 — 155 lines — stays where its author put it; the contents beside it link to each section on GitHub.
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:
- 搜索
~/.claude/memory/sessions/{sid}/index.json中的 keywords 字段 - 按匹配度排序返回结果
- 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 |
context_archiver |
scripts/lib/context_archiver.py |
L2 归档索引读取 |
phase_ledger |
scripts/lib/phase_ledger.py |
Phase Ledger 读取 |
数据源
| 源 | 路径 | 内容 |
|---|---|---|
| L2 归档索引 | ~/.claude/memory/sessions/{sid}/index.json |
关键词索引、元素摘要 |
| L2 归档文件 | ~/.claude/memory/sessions/{sid}/archived/*.md |
完整归档内容 |
| Phase Ledger | docs/memory/sessions/{sid}/phase-*.md |
阶段交接记录 |
| Ledger 索引 | /tmp/harness-phase-ledger-{sid}.json |
Ledger 快速索引 |
调用示例
from scripts.lib.context_recall import (
recall_by_keyword,
recall_by_phase,
recall_by_type,
recall_decisions,
get_phase_timeline,
format_recall_results,
)
# 按关键词
results = recall_by_keyword(session_id, "api contract")
print(format_recall_results(results))
# 按阶段
results = recall_by_phase(session_id, "design", project_path)
print(format_recall_results(results))
# 所有决策
results = recall_decisions(session_id, project_path)
print(format_recall_results(results))
# 阶段时间线
timeline = get_phase_timeline(session_id, project_path)
print(timeline)
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.
- 3d ago First seen · 155 lines · 50 tokens per session scan A 205283b649d1
context-recall is a skill published in the GitHub repository hashgraph-online/awesome-codex-plugins (956 stars, last pushed today), licensed Apache-2.0. It adds 50 tokens to every session and 1,364 once invoked, about $0.0003 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 2026-09-05.
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