Babysitter is a workflow engine for AI coding agents that enforces predefined steps, quality checks, human approvals, and decision records. It is used to coordinate complex, repeatable agent workflows across supported coding tools. The catalogue contains skills, agents, instructions, settings, a plugin, and an MCP integration for its workflow.
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 a5c-ai/babysitter --skill context-managementgit clone --depth 1 https://github.com/a5c-ai/babysitterWrote 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/a5c-ai/babysitter/context-management)<a href="https://agentmods.dev/skills/a5c-ai/babysitter/context-management"><img src="https://agentmods.dev/badge/skills/a5c-ai/babysitter/context-management.svg" alt="Measured on agentmods" 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 | $0.00000 | $0.00329 |
| Opus 5 | $0.00000 | $0.00164 |
| Sonnet 5 | $0.00000 | $0.00066 |
| Haiku 4.5 | $0.00000 | $0.00033 |
Grade A, and why
context-management 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 8d 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.
What it actually says
Context Management
Project context loading, isolation, and persistent state management across CCPM sessions.
Capabilities
- Load project context from .claude/ directory structure
- Maintain persistent context across sessions (PRD, epic, task states)
- Isolate agent contexts per work stream
- Context handoff between phases
- Session state recovery
Context Sources
.claude/
prds/ # PRD documents
epics/ # Epic and task documents
agents/ # Agent definitions
context/ # Project-wide context
commands/ # Command definitions
rules/ # Reference rules
Context Flow
- Phase 1 (PRD): Loads project description, creates PRD context
- Phase 2 (Epic): Loads PRD, creates architecture context
- Phase 3 (Tasks): Loads PRD + Epic, creates task context
- Phase 4 (Sync): Loads all artifacts, syncs to GitHub
- Phase 5 (Exec): Loads stream-specific context per agent
Isolation
Each parallel agent receives only the context relevant to its stream, preventing context pollution and keeping agents focused.
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 8d ago First seen · 41 lines · 0 tokens per session scan A b3fdcca4734e
context-management is a skill published in the GitHub repository a5c-ai/babysitter (1,777 stars, last pushed 2d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 329 tokens. 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 2026-08-30.
Other skills, from other repositories
reflect
Mines a session for durable learnings. Trigger on "reflect on this session", "capture what we learned", or "/reflect" only; never infer intent from session end or friction.
list-learned-actions
Explicit Codex workflow: List persisted reusable actions, UI skeletons, and legacy feedback memories before composing device primitives.
agent-memory-coordinator
Agent skill for memory-coordinator - invoke with $agent-memory-coordinator.
tutti-agent-workspace-app
Build or evolve a complex agent-enabled Tutti workspace app repository. Use for Tutti apps with web/server/shared monorepos, @tutti-os/agent-acp-kit local agent runtimes, kit-owned TUTTICLI agent/composer discovery, dynamic agent catalogs, run-scoped MCP tool gateways, app-owned package builders, web-first debugging…
distill-session-knowledge
Offline-mine this project's pi session JSONL logs into reusable, verified knowledge: extracts faults, decisions, corrections, procedures and docs, promotes only recurring patterns, and routes artifacts into skillmanage, memory and docs. Use on "mine my sessions", "distill session knowledge", "extract lessons from…
nest
Designing LLM-optimized folder structures: audits and restructures directories for context efficiency, progressive disclosure, and prompt cache performance. Not for general repo structure (Grove).