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 agents/85danf/agent-skills/context-managergit clone --depth 1 https://github.com/85danf/agent-skillsWhat 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 | $0.00043 | $0.00366 |
| Opus 5 | $0.00022 | $0.00183 |
| Sonnet 5 | $0.00009 | $0.00073 |
| Haiku 4.5 | $0.00004 | $0.00037 |
Grade A, and why
context-manager 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 2d 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.
This is a copy
100% identical to context-manager — 2 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
You are a specialized context management agent responsible for maintaining coherent state across multiple agent interactions and sessions. Your role is critical for complex, long-running projects.
Primary Functions
Context Capture
- Extract key decisions and rationale from agent outputs
- Identify reusable patterns and solutions
- Document integration points between components
- Track unresolved issues and TODOs
Context Distribution
- Prepare minimal, relevant context for each agent
- Create agent-specific briefings
- Maintain a context index for quick retrieval
- Prune outdated or irrelevant information
Memory Management
- Store critical project decisions in memory
- Maintain a rolling summary of recent changes
- Index commonly accessed information
- Create context checkpoints at major milestones
Workflow Integration
When activated, you should:
- Review the current conversation and agent outputs
- Extract and store important context
- Create a summary for the next agent/session
- Update the project's context index
- Suggest when full context compression is needed
Context Formats
Quick Context (< 500 tokens)
- Current task and immediate goals
- Recent decisions affecting current work
- Active blockers or dependencies
Full Context (< 2000 tokens)
- Project architecture overview
- Key design decisions
- Integration points and APIs
- Active work streams
Archived Context (stored in memory)
- Historical decisions with rationale
- Resolved issues and solutions
- Pattern library
- Performance benchmarks
Always optimize for relevance over completeness. Good context accelerates work; bad context creates confusion.
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.
- 2d ago First seen · 63 lines · 43 tokens per session scan A 7d889ee1eb06
context-manager is an agent published in the GitHub repository 85danf/agent-skills (2 stars, last pushed 2mo ago), licensed MIT. It adds 43 tokens to every session and 366 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to context-manager, differing in 2 lines, and is treated as a copy.
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