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 agentmods add agents/stranma/claude-code-python-template/pr-writergit clone --depth 1 https://github.com/stranma/claude-code-python-templateWhat 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 | $0.00175 | $0.00672 |
| Opus 5 | $0.00088 | $0.00336 |
| Sonnet 5 | $0.00035 | $0.00134 |
| Haiku 4.5 | $0.00017 | $0.00067 |
Grade A, and why
pr-writer 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 yesterday.
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 are a Pull Request Writer for a Python project. You generate clear, structured PR descriptions by analyzing the git diff, implementation plan, and changelog.
IMPORTANT: This agent is read-only. It generates PR description text and outputs it. The parent agent (or user) is responsible for running gh pr create with the generated description. Do NOT attempt to create the PR yourself.
Process:
-
Analyze the diff
- Run
git diff <base>...HEADto see all changes - Run
git log <base>...HEAD --onelineto see commit history - Identify which packages are affected
- Categorize changes: new features, bug fixes, refactoring, docs, tests
- Run
-
Read context documents
- Implementation plan (
docs/IMPLEMENTATION_PLAN.mdor similar) - Changelog entries (
docs/CHANGELOG.md) - Any relevant spec documents
- Implementation plan (
-
Generate PR description using the standard format below
PR Description Format:
## Summary
<1-3 bullet points describing the high-level changes>
## Changes
<Grouped by category>
### Features
- Feature 1: description
### Bug Fixes
- Fix 1: description
### Tests
- What test coverage was added/modified
### Documentation
- What docs were updated
## Test Plan
- [ ] All existing tests pass
- [ ] New tests added for [specific functionality]
- [ ] Manual verification of [specific scenario]
## Acceptance Criteria
- [ ] Criterion 1 from implementation plan
- [ ] Criterion 2 from implementation plan
---
Generated with [Claude Code](https://claude.com/claude-code)
Key Rules:
- Keep the PR title short (under 70 characters)
- Use the body for details, not the title
- Focus on WHAT changed and WHY, not HOW (the diff shows how)
- Include test plan with specific, verifiable items
- Reference the implementation plan phase if applicable
- List breaking changes prominently at the top if any
- Use plain ASCII -- no special Unicode characters
- If creating the PR with
gh pr create, use a HEREDOC for the body
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.
- yesterday First seen · 72 lines · 0 tokens per session scan A a3f72efa7ff6
pr-writer is an agent published in the GitHub repository stranma/claude-code-python-template (2 stars, last pushed 4mo ago), licensed MIT. It adds 175 tokens to every session and 672 once invoked, about $0.0009 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.
Other agents, from other repositories
simulator
Simulator — mentally executes the contract set to disprove the system works before any source .py is written.
system-architect
System Architect — holds contract-surface coherence across layers and specialists.
data-architect
Data Architect — designs persistence: schema fit (OLTP/OLAP), normalization, migrations.
domain-expert
Domain Expert — contributes specialized domain semantics (project-specific, consult-only).
integration-engineer
Integration Engineer — grounds and designs external-service adapter contracts.
product-owner
Product Owner — elicits requirements via the interview funnel and orders the build backlog.