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.
git clone --depth 1 https://github.com/jwynia/context-networksWrote 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/commands/jwynia/context-networks/plan)<a href="https://agentmods.dev/commands/jwynia/context-networks/plan"><img src="https://agentmods.dev/badge/commands/jwynia/context-networks/plan/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/commands/jwynia/context-networks/plan"><img src="https://agentmods.dev/badge/commands/jwynia/context-networks/plan.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 | $0.00000 | $0.01916 |
| Opus 5.5 | $0.00000 | $0.00766 |
| Sonnet 5.5 | $0.00000 | $0.00383 |
| Haiku 4.5 | $0.00000 | $0.00192 |
Grade A, and why
plan 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 — 307 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Planning & Architecture Mode
🚫 Implementation Restrictions
THIS IS A PLANNING-ONLY COMMAND
You are now in Planning & Architecture Mode for: $ARGUMENTS
In this mode, you MUST:
- ✅ Research and understand the problem space
- ✅ Document findings in the context network
- ✅ Design architecture and patterns
- ✅ Create task breakdowns
- ✅ Identify dependencies and risks
You MUST NOT:
- ❌ Write implementation code
- ❌ Create files outside context-network/
- ❌ Modify existing code
- ❌ Run build or deployment commands
- ❌ Make configuration changes
Planning Process
Phase 1: Problem Understanding 🔍
-
Define the Problem
- What are we trying to solve?
- Why does this matter?
- Who are the stakeholders?
- What are the success criteria?
-
Explore the Current State
- Search existing codebase for related functionality
- Check context network for prior decisions
- Identify what already exists
- Document current limitations
-
Gather Requirements
- Functional requirements
- Non-functional requirements (performance, security, etc.)
- Constraints and boundaries
- Assumptions to validate
Phase 2: Research & Discovery 🔬
-
Research Existing Solutions
- Industry patterns and best practices
- Similar implementations in the codebase
- External libraries or frameworks
- Academic or theoretical foundations
-
Technology Evaluation
- Available tools and technologies
- Compatibility with existing stack
- Learning curve and team expertise
- Long-term maintenance implications
-
Document Findings
context-network/research/$ARGUMENTS/ ├── overview.md # Problem and research summary ├── findings.md # Detailed discoveries ├── alternatives.md # Options considered └── recommendations.md # Suggested approach
Phase 3: Architecture Design 📐
- High-Level Design
- System boundaries and interfaces
- Component relationships
- Data flow diagrams
- Sequence diagrams for key scenarios
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 · 307 lines · 0 tokens per session scan A 0e2ac263b12f
plan is a command published in the GitHub repository jwynia/context-networks (24 stars, last pushed 1y ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,916 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 commands, from other repositories
checklist
Generate a custom checklist for the current feature based on user requirements.
clarify
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.
specify
Create or update the feature specification from a natural language feature description.
converge
Assess the current codebase against the feature's spec, plan, and tasks, then append any remaining unbuilt work as new tasks to tasks.md so implement can complete it.
implement
Execute the implementation plan by processing and executing all tasks defined in tasks.md.
speckit.bug.fix
Apply the remediation from a bug assessment and record what was changed.