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 skills/jpoutrin/product-forge/parallel-fix-djangonpx skills add jpoutrin/product-forge --skill parallel-fix-djangogit clone --depth 1 https://github.com/jpoutrin/product-forgeWrote 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/skills/jpoutrin/product-forge/parallel-fix-django)<a href="https://agentmods.dev/skills/jpoutrin/product-forge/parallel-fix-django"><img src="https://agentmods.dev/badge/skills/jpoutrin/product-forge/parallel-fix-django.svg" alt="Measured on agentmods" 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 | $0.01672 |
| Opus 5 | $0.00008 | $0.00836 |
| Sonnet 5 | $0.00003 | $0.00334 |
| Haiku 4.5 | $0.00002 | $0.00167 |
Grade B, and why
parallel-fix-django scanned grade B with 1 finding 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 2d 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.
Reads agent configuration directoriesmediumAgent snooping
.claude/, .codex/, .gemini/ hold keys, settings and other credentials a mod has no legitimate need for.
cat .claude/readiness-report.md How it starts
The opening of the file, as written. The whole thing — 309 lines — stays where its author put it; the contents beside it link to each section on GitHub.
parallel-fix-django
Category: Parallel Development (Django)
Usage
/parallel-fix-django [--dimension <name>] [--dry-run]
Arguments
--dimension: Optional - Focus on specific dimension (app-boundaries, shared-state, contracts, tests, docs, deps)--dry-run: Optional - Show what would be fixed without making changes
Purpose
Fix blockers identified by /parallel-ready-django to prepare the Django codebase for parallel multi-agent development. References the remediation-checklist.md from the skill.
Prerequisites
- Run
/parallel-ready-djangofirst .claude/readiness-report.mdmust exist with identified blockers
Execution Instructions for Claude Code
When this command is run, Claude Code should:
1. Read Readiness Report
cat .claude/readiness-report.md
Parse the "Blockers" and "Risks" sections to identify what needs fixing.
2. Fix by Dimension
App Boundaries Fixes
Problem: God App (>15 models)
1. Identify models that can be grouped by domain
2. Create new Django app: python manage.py startapp [domain] apps/[domain]
3. Move models incrementally with migrations
4. Update all imports
5. Verify tests pass
Problem: Circular Imports
# Before - circular import
from apps.orders.models import Order # in users/models.py
from apps.users.models import User # in orders/models.py
# After - use string reference
class Order(models.Model):
user = models.ForeignKey("users.User", on_delete=models.CASCADE)
Problem: Cross-App Imports >30%
1. Identify shared types/utilities
2. Create apps/shared/ app for common code
3. Move shared code to shared app
4. Update imports to use shared
Shared State Fixes
Problem: Cross-App Signals
# Before - implicit signal
@receiver(post_save, sender=User)
def create_user_stats(sender, instance, created, **kwargs):
if created:
UserStats.objects.create(user=instance)
# After - explicit service call
class UserService:
def __init__(self, stats_service: StatsService):
self.stats_service = stats_service
def create_user(self, email: str, name: str) -> User:
user = User.objects.create(email=email, name=name)
self.stats_service.initialize_for_user(user.id)
return user
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.
- 2d ago First seen · 309 lines · 16 tokens per session scan B 5e67c61dca13
parallel-fix-django is a skill published in the GitHub repository jpoutrin/product-forge (15 stars, last pushed 6mo ago), licensed MIT. It adds 16 tokens to every session and 1,672 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it B with 1 finding (reads agent configuration directories). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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