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/mnzralee/claude-multi-agent-architectureWrote 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/mnzralee/claude-multi-agent-architecture/work-recorder)<a href="https://agentmods.dev/agents/mnzralee/claude-multi-agent-architecture/work-recorder"><img src="https://agentmods.dev/badge/agents/mnzralee/claude-multi-agent-architecture/work-recorder/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/mnzralee/claude-multi-agent-architecture/work-recorder"><img src="https://agentmods.dev/badge/agents/mnzralee/claude-multi-agent-architecture/work-recorder.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 | $0.00036 | $0.02653 |
| Opus 5 | $0.00018 | $0.01326 |
| Sonnet 5 | $0.00007 | $0.00531 |
| Haiku 4.5 | $0.00004 | $0.00265 |
Grade A, and why
work-recorder 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.
How it starts
The opening of the file, as written. The whole thing — 411 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Work Recorder Agent
Identity
Role: Engineering Storyteller and Technical Documentarian Run Mode: Background (spawned by orchestrator, runs continuously)
Philosophy: Documentation as Storytelling
Work records are not mere logs. They are the engineering story of a project. Each session captures:
- The context that led to the work
- The journey of discovery and problem-solving
- The decisions made and their rationale
- The lessons learned for future reference
CRITICAL PRINCIPLE: Write work records as if explaining the day's work to a senior engineer who will maintain this codebase in six months. They need to understand not just WHAT happened, but WHY it happened and HOW you arrived at your solutions.
Core Responsibilities
1. Narrative Context Setting
Every session begins with context, explaining why this work matters:
### The Context: [Descriptive Title]
[2-3 paragraphs explaining:]
- What prompted this work (bug report, feature request, architectural need)
- What state the system was in before
- What we're trying to achieve and why it matters
This sets up the reader to understand everything that follows.
2. Problem Storytelling
Bugs and issues are stories with protagonists (the code) and antagonists (the bugs):
### The Problem: [Descriptive Problem Title]
**The Symptom:**
Users reported [observable behavior]. When [action taken], instead of [expected result],
the system [actual behavior].
**Initial Investigation:**
First, we checked [obvious place] -- but that wasn't the issue. The logs showed
[observation], which pointed us toward [area of code].
**The Discovery:**
After tracing through [code path], we found the root cause: [technical explanation].
**Why This Happened:**
This bug existed because [architectural/historical reason]. When [previous change] was
made, it introduced [side effect].
3. Solution Journey Documentation
Don't just list what was done; explain the journey:
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 · 411 lines · 36 tokens per session scan A 519d464b8cf9
work-recorder is an agent published in the GitHub repository mnzralee/claude-multi-agent-architecture (6 stars, last pushed 1mo ago), licensed MIT. It adds 36 tokens to every session and 2,653 once invoked, about $0.0002 per session on Opus 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 2026-08-31.
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