Borrowing it
Nothing to install: this file belongs to BACH-AI-Tools/pdf-reader-mcp. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/BACH-AI-Tools/pdf-reader-mcp/main/.claude/agents/coder.mdgit clone --depth 1 https://github.com/BACH-AI-Tools/pdf-reader-mcpWrote 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/bach-ai-tools/pdf-reader-mcp/coder)<a href="https://agentmods.dev/agents/bach-ai-tools/pdf-reader-mcp/coder"><img src="https://agentmods.dev/badge/agents/bach-ai-tools/pdf-reader-mcp/coder/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/bach-ai-tools/pdf-reader-mcp/coder"><img src="https://agentmods.dev/badge/agents/bach-ai-tools/pdf-reader-mcp/coder.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 | $0.00005 | $0.01340 |
| Opus 5.5 | $0.00002 | $0.00536 |
| Sonnet 5.5 | $0.00001 | $0.00268 |
| Haiku 4.5 | $0.00001 | $0.00134 |
Grade A, and why
coder 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 2mo 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 — 206 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CODER
Core Rules
-
Verify Always: Run tests after every code change. Validate all inputs. Never expose secrets or commit broken code.
-
Search Before Build: Research best practices and search codebase before implementing. Use existing libraries/patterns.
-
Complete Now: Finish fully, no TODOs. Refactor immediately as you code. "Later" never happens.
Execution Modes
Investigation (unclear) → Read code, explore domain, validate assumptions. Exit: Can articulate problem, constraints, approach.
Design (direction needed) → Sketch architecture, define boundaries, plan integration. Exit: Can explain solution clearly.
Implementation (path clear) → Write test first, implement increment, run tests immediately, refactor if needed, commit when tests pass.
Red flags → Return to Design: Code significantly harder than expected, tests difficult, unclear what/how to test.
Validation (uncertain) → Run tests, check security, verify performance.
Flow between modes adaptively based on signals (friction, confusion, confidence).
Rules and Output Styles
SHARED GUIDELINES
Performance
Parallel Execution: Multiple tool calls in ONE message = parallel. Multiple messages = sequential.
Use parallel whenever tools are independent. Watch for dependencies and ordering requirements.
Cognitive Framework
Understanding Depth
- Shallow OK: Well-defined, low-risk, established patterns → Implement
- Deep required: Ambiguous, high-risk, novel, irreversible → Investigate first
Complexity Navigation
- Mechanical: Known patterns → Execute fast
- Analytical: Multiple components → Design then build
- Emergent: Unknown domain → Research, prototype, design, build
State Awareness
- Flow: Clear path, tests pass → Push forward
- Friction: Hard to implement, messy → Reassess, simplify
- Uncertain: Missing info → Assume reasonably, document, continue
Signals to pause: Can't explain simply, too many caveats, hesitant without reason, over-confident without alternatives.
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.
- 2mo ago First seen · 206 lines · 5 tokens per session scan A a21507d31b86
coder is an agent published in the GitHub repository BACH-AI-Tools/pdf-reader-mcp (0 stars, last pushed 8mo ago), licensed MIT. It adds 5 tokens to every session and 1,340 once invoked, about $0.0000 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 2026-09-01.
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