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/valsecchi75/project-scaffolder/context-managernpx skills add valsecchi75/project-scaffolder --skill context-managergit clone --depth 1 https://github.com/valsecchi75/project-scaffolderWrote 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/valsecchi75/project-scaffolder/context-manager)<a href="https://agentmods.dev/skills/valsecchi75/project-scaffolder/context-manager"><img src="https://agentmods.dev/badge/skills/valsecchi75/project-scaffolder/context-manager.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 5.1 | $0.00065 | $0.00644 |
| Opus 5 | $0.00032 | $0.00322 |
| Sonnet 5 | $0.00013 | $0.00129 |
| Haiku 4.5 | $0.00006 | $0.00064 |
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 6d 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 — 60 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Context Manager
Overview
Keeps sessions inside a healthy context window. The wiki is long-term memory; the chat is working memory that must be renewed BEFORE quality degrades (context rot).
Core principle: hand off proactively at the threshold, never reactively at the limit.
Threshold Check (after every completed task)
- Threshold: 300k tokens by default — configurable via the "Context threshold" line in the project CLAUDE.md.
- Estimate consumption from: system context warnings, number/size of files read this session, conversation length. When in doubt, assume you are CLOSER to the threshold than you think.
- Below threshold → continue normally.
- Above threshold → no new activities. Finish the current activity if nearly done, then run the Handoff Procedure.
Handoff Procedure
- Update
wiki/handoff.md(≤80 lines): done, in progress, next, files to read. - Update
wiki/priorities.md(≤100 lines): checkbox states current. - Generate the Continuation Prompt (template below, ≤40 lines) and print it as the final message so the user can paste it into a fresh chat.
- Update
daily-log/YYYY-MM-DD.md.
Continuation Prompt Template
# Continue: {project} — Phase {N}
Read in order (nothing else):
1. CLAUDE.md
2. wiki/handoff.md
3. docs/phases/PHASE-{N}-execution.md
State: activities {list} DONE; activity {n} IN PROGRESS at {exact point}.
Next: activity {n} — {description}. VERIFY: {criterion}.
Mode: {Normal/Autopilot/Autonomous}. Context threshold: {X}k.
Do NOT re-read: {stable files already processed}.
Context Minimalism Rules
Injected into every generated CLAUDE.md:
- Wrong path →
/rewind+ re-prompt with the lesson learned. Never pile inline corrections on a polluted context. - Between large tasks →
/clear+ written brief (the Execution Doc activity is the brief). /compactalways with a hint ("keep decisions and current activity state").- Inject the minimum: link wiki pages instead of pasting them; excerpts over full files.
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.
- 6d ago First seen · 60 lines · 65 tokens per session scan A 80ba66e86688
context-manager is a skill published in the GitHub repository valsecchi75/project-scaffolder (9 stars, last pushed 1mo ago), licensed MIT. It adds 65 tokens to every session and 644 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 2026-08-31.
Other skills, from other repositories
media-ingest
Ingest video, audio, PDF, book, screenshot, and GitHub repo content into the brain. Multi-format handling with entity extraction and backlink propagation. Covers video-ingest, youtube-ingest, and book-ingest subtypes.
mem0-oss-to-platform
Plan and then execute a migration of a project from the mem0 open-source / self-hosted SDK (the local Memory class) to the mem0 Platform / hosted / managed SDK (the MemoryClient class). Use this whenever a developer wants to move, switch, or migrate their mem0 usage off OSS/self-hosted to the hosted API — e.g.…
Cortex
Operate Cortex, the LifeOS memory system — the typed Knowledge Archive (People, Companies, Ideas, Research with typed related: links) plus recall of prior work sessions, ISAs, and conversations. Search, add, harvest, develop, ingest, distill, graph-navigate, recall. USE WHEN cortex, knowledge, knowledge base, search…
agent-memory
../../../engineering/agent-memory/skills/agent-memory/SKILL.md.
memory
Use when the user asks to remember, recall, forget, update, search, or inspect durable OpenSquilla memory, including profile facts in USER.md and long-term notes in MEMORY.md or memory//.md.
ha-data-stores
Map of Hope Agent's local data stores and safe read-only query workflow. Use when the user asks where Hope Agent stores data, wants to inspect sessions/messages/memory/logs/background jobs/knowledge indexes/settings, asks the model to query local app data, or debugging requires checking persisted state. Trigger…