Awesome Codex Plugins is a curated catalogue and marketplace of installable plugins, skills, and related resources for OpenAI Codex and ChatGPT. It helps people find, create, validate, and submit extensions for Codex workflows across its app, command-line interface, and IDE extensions. The catalogue add-ons are the plugins, skills, agents, and hooks listed or supported by this project.
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 5.5 | $0.00020 | $0.00546 |
| Sonnet 5.5 | $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 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.
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.
- 1mo 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 (1,431 stars, last pushed today), licensed Apache-2.0. It adds 50 tokens to every session and 1,364 once invoked, about $0.0002 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 2026-09-05.
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