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 agentmods add skills/ccplugins/awesome-claude-code-plugins/context-memorynpx skills add ccplugins/awesome-claude-code-plugins --skill context-memorygit clone --depth 1 https://github.com/ccplugins/awesome-claude-code-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/ccplugins/awesome-claude-code-plugins/context-memory)<a href="https://agentmods.dev/skills/ccplugins/awesome-claude-code-plugins/context-memory"><img src="https://agentmods.dev/badge/skills/ccplugins/awesome-claude-code-plugins/context-memory.svg" alt="Measured on agentmods" 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 | $0.00073 | $0.00527 |
| Opus 5 | $0.00036 | $0.00264 |
| Sonnet 5 | $0.00015 | $0.00105 |
| Haiku 4.5 | $0.00007 | $0.00053 |
Grade A, and why
context-memory 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 yesterday.
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
Context Memory Skill
Saves and searches past Claude Code sessions so context, decisions, and code persist across conversations.
Trigger Phrases
Activate this skill when the user says:
- "remember this" / "save this session" / "store this for later"
- "recall" / "search past sessions"
- "what did we discuss about..."
- "find previous work on..."
- "look up past decisions about..."
- "context memory"
Features
- Cross-session memory - Save and recall past work across Claude Code sessions
- Structured AI summaries - Rich summaries with decisions, problems solved, technologies, outcome
- Full-text search - FTS5 with Porter stemming for fast, fuzzy search
- Two-tier retrieval - Summary-ranked search (<10ms) + deep content fetch (<50ms)
- Auto-save on exit - Stop hook captures session context automatically
- Pre-compact checkpoints - Saves full conversation before context compaction
- Web dashboard - Full SPA with analytics (optional, requires flask)
- MCP server - Six tools for programmatic access (optional, requires Python >= 3.10)
Installation
git clone https://github.com/ErebusEnigma/context-memory.git
cd context-memory
python install.py
Commands
/remember [note]
Save the current session with an optional annotation.
/recall [options]
Search past sessions.
--project: Limit to current project--detailed: Include full message content and code snippets--limit N: Maximum results (default: 10)
Source Repository
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.
- yesterday First seen · 64 lines · 73 tokens per session scan A 46e9dae4a520
context-memory is a skill published in the GitHub repository ccplugins/awesome-claude-code-plugins (931 stars, last pushed 23d ago), licensed Apache-2.0. It adds 73 tokens to every session and 527 once invoked, about $0.0004 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 2026-09-03.
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