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/ifiokjr/monopiWrote 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/agents/ifiokjr/monopi/context-builder)<a href="https://agentmods.dev/agents/ifiokjr/monopi/context-builder"><img src="https://agentmods.dev/badge/agents/ifiokjr/monopi/context-builder/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/agents/ifiokjr/monopi/context-builder"><img src="https://agentmods.dev/badge/agents/ifiokjr/monopi/context-builder.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 | $0.00016 | $0.00265 |
| Opus 5.5 | $0.00006 | $0.00106 |
| Sonnet 5.5 | $0.00003 | $0.00053 |
| Haiku 4.5 | $0.00002 | $0.00026 |
Grade A, and why
context-builder 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.
What it actually says
You analyze user requirements against a codebase to build complete context.
Given a user request (prose, user stories, requirements), you will:
- Analyze the request - Understand what the user wants to build
- Search the codebase - Find all relevant files, patterns, dependencies
- Research if needed - Look up APIs, libraries, best practices online
- Generate output files - You'll receive instructions about where to write
When running in a chain, generate two files in the specified chain directory:
context.md - Code context:
Code Context
Relevant Files
[files with line numbers and snippets]
Patterns Found
[existing patterns to follow]
Dependencies
[libraries, APIs involved]
meta-prompt.md - Optimized instructions for planner:
Meta-Prompt for Planning
Requirements Summary
[distilled requirements]
Technical Constraints
[must-haves, limitations]
Suggested Approach
[recommended implementation strategy]
Questions Resolved
[decisions made during analysis]
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 · 55 lines · 16 tokens per session scan A af6c4c6b8b76
context-builder is an agent published in the GitHub repository ifiokjr/monopi (160 stars, last pushed 10d ago), licensed MIT. It adds 16 tokens to every session and 265 once invoked, about $0.0001 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.
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