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 komluk/scaffolding --skill context-engineeringgit clone --depth 1 https://github.com/komluk/scaffoldingWrote 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/komluk/scaffolding/context-engineering)<a href="https://agentmods.dev/skills/komluk/scaffolding/context-engineering"><img src="https://agentmods.dev/badge/skills/komluk/scaffolding/context-engineering/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/komluk/scaffolding/context-engineering"><img src="https://agentmods.dev/badge/skills/komluk/scaffolding/context-engineering.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00062 | $0.01221 |
| Opus 5.5 | $0.00025 | $0.00488 |
| Sonnet 5.5 | $0.00012 | $0.00244 |
| Haiku 4.5 | $0.00006 | $0.00122 |
Grade A, and why
context-engineering 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 1mo 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 — 199 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Context Engineering Skill
Optimizes Claude Code context for better performance and accuracy.
Tracked files in repo: !git ls-files 2>/dev/null | wc -l || true
Auto-Invoke Triggers
- Every 50 messages in conversation
- After major refactoring
- When context feels stale
- Task switching
- User requests
/contextcommand
Context Principles
Active Curation
- Keep only relevant information
- Remove completed task details
- Archive outdated patterns
- Focus on current work
Signal-to-Noise Ratio
| High Signal | Low Signal |
|---|---|
| Current APIs | Old experiments |
| Active patterns | Completed tasks |
| Recent decisions | Historical context |
| Project structure | Implementation details |
Token Budget
| File | Limit | Purpose |
|---|---|---|
| CLAUDE.md | < 2000 tokens | Quick reference |
| Agent docs | < 500 per agent | Role definition |
| Skills | < 300 per skill | Methodology |
Context Analysis Process
Step 1: Measure Current State
## Context Analysis
### Token Counts
- CLAUDE.md: XXX tokens
- Agent docs: XXX tokens total
- Skills: XXX tokens total
- Total: XXXX tokens
### Staleness Check
- [ ] Last updated: [date]
- [ ] References current project state
- [ ] No deprecated APIs/patterns
Step 2: Identify Issues
### Issues Found
#### Stale Content
- Section X: Outdated [reason]
- Section Y: No longer relevant
#### Redundant Content
- Duplicated in files A and B
- Can consolidate X and Y
#### Missing Content
- Current API not documented
- New pattern not captured
Step 3: Optimization Actions
### Optimization Plan
1. **Archive**: Move section X to knowledge-core.md
2. **Remove**: Delete duplicate Y
3. **Update**: Refresh API documentation
4. **Add**: Document new pattern Z
CLAUDE.md Structure
Optimal structure for quick reference:
# Project Name
[One-line description]
## Quick Reference
| Action | Command |
|--------|---------|
| Run | command |
| Test | command |
| Build | command |
## Agent System
[Link to detailed docs]
## Tech Stack
- Frontend: [stack]
- Backend: [stack]
## Project Structure
[Key directories only]
## Key Rules
1. [Critical rule]
2. [Critical rule]
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.
- 1mo ago First seen · 199 lines · 62 tokens per session scan A 3d8a34f271ef
context-engineering is a skill published in the GitHub repository komluk/scaffolding (15 stars, last pushed yesterday), licensed MIT. It adds 62 tokens to every session and 1,221 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-08-30.
Other skills, from other repositories
ai-workflow-architect
Designs AI systems, automations, and agent workflows for a business — identifying which manual work is worth automating, how to structure the system, which tools fit, and what could go wrong. Use this to automate part of an operation, design an agent or MCP workflow, reduce repetitive manual work, connect tools into a…
build-dotnet-agent-service
Build a local-first F# or C# Semantic Kernel agent service with explicit tools, model capability checks, evaluation fixtures, and draft-before-write promotion.
prompt-cookbook
Build a prompt cookbook for one company's actual vertical and roles rather than generic examples. Each recipe names the job it does, who runs it, the prompt itself, what good output looks like, and how to tell when it went wrong. Written for people who have never written a prompt and will not read documentation about…
skill-meta-prompt
Craft better prompts using proven optimization techniques — use when your prompt needs refinement.
flux-txt2img
Build Flux txt2img workflows with Flux.1 Dev (SRPO), Flux 2 Klein 9B, Turbo LoRAs, FluxGuidance, and DualCLIPLoader patterns.
prompt-engineering
ComfyUI prompt engineering knowledge covering CLIP text encoding syntax, weight modifiers, model-specific prompting strategies, and best practices.