context-engineering SKILL.md skillA

context-engineering from a5c-ai/babysitter is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add a5c-ai/babysitter/context-engineering@v1.0.0

Pins v1.0.0 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
a5c-ai/babysitter
Path
library/methodologies/gsd/skills/context-engineering/SKILL.md
Versions recorded
5
Latest version
v1.0.0, committed Jun 1, 2026
First version recorded
Mar 25, 2026
Size
7,247 bytes
Repository stars
1,891
License
MIT

Context window monitoring and budget management. Keeps orchestrator at 15-30% context usage while subagents get full 200k tokens. Provides warnings at thresholds, context-aware summarization triggers, and wave-level budget planning.

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

- **Subagents**: Get full 200k tokens of fresh context per spawn.
- **Context budget**: Plan how much context each wave of execution will consume.

This skill provides:
- Context window usage estimation for the current session
- Warning injection at configurable thresholds (70%, 85%, 95%)
- Orchestrator budget enforcement
- Subagent context allocation recommendations
- Context-aware summarization triggers
- Stale context detection and pruning suggestions
- Wave-level context budget planning

## Capabilities

### 1. Context Usage Estimation

Estimate current context window usage based on conversation history size:

```
Tokens used:     ~45,000 / 200,000
Usage:           22.5%
Status:          HEALTHY
Next threshold:  70% (warning) at ~140,000 tokens
```

Estimation methods:
- Character count / 4 (rough approximation)
- Tool output tracking (each tool call adds to context)
- File read accumulation tracking

### 2. Threshold Warnings

Inject warnings at configurable thresholds:

```
[CONTEXT 70%] Warning: Context window at 70%. Consider summarizing completed work.
[CONTEXT 85%] Critical: Context window at 85%. Spawn new subagent for remaining work.
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add a5c-ai/babysitter/context-engineering@sha256:23b2902fd0a7ba61

The line at the top of this page pins the label v1.0.0, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_u7crnjuo4254d5wi.svg)](https://markdownregistry.com/a/art_u7crnjuo4254d5wi)

5 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 5 versions of this file, between Mar 25, 2026 and Jun 1, 2026, about one every 17 days.

versioncommittedcommitsizeaudit
v1.0.0 latest2026-06-01 da7723a 7,247 BA view · diff
v1.0.02026-05-07 9f5be95 7,455 BA view · diff
git:20260507.8dfdcb42026-05-07 8dfdcb4 7,450 BC view · diff
v1.0.02026-05-07 56f011d 7,866 BA view · diff
v1.0.02026-03-25 a6b3a88 7,595 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (7247 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

a5c-ai/babysitter · 1,891 stars · license MIT · pushed 2026-11-01 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_u7crnjuo4254d5wi
GET https://markdownregistry.com/api/v1/resolve?ref=a5c-ai/babysitter/context-engineering
GET https://markdownregistry.com/api/v1/blob/23b2902fd0a7ba61141396f960a690d8c842e0eb31f8cb586efbd31e55f1ac44

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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