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-prompt-generatornpx skills add jpoutrin/product-forge --skill parallel-prompt-generatorgit 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-prompt-generator)<a href="https://agentmods.dev/skills/jpoutrin/product-forge/parallel-prompt-generator"><img src="https://agentmods.dev/badge/skills/jpoutrin/product-forge/parallel-prompt-generator.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 | $0.00036 | $0.02547 |
| Opus 5 | $0.00018 | $0.01273 |
| Sonnet 5 | $0.00007 | $0.00509 |
| Haiku 4.5 | $0.00004 | $0.00255 |
Grade A, and why
parallel-prompt-generator 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 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.
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 — 353 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Prompt Generator
Generate agent-ready prompts from existing task specification files in tasks/.
CRITICAL: Prompt Template Requirements
Every generated prompt file MUST include ALL of these sections (see Step 4 for full template):
| Section | Purpose | Required |
|---|---|---|
=== REQUIRED SKILLS === |
Skills to invoke at start | YES |
=== CONTEXT === |
Shared project context | YES |
=== OBJECTIVE === |
Task goal | YES |
=== CONTRACTS === |
Contract file references | YES |
=== FILES TO CREATE === |
Scope CREATE | YES |
=== FILES TO MODIFY === |
Scope MODIFY | YES |
=== DO NOT MODIFY === |
Scope BOUNDARY | YES |
=== IMPLEMENTATION REQUIREMENTS === |
Requirements | YES |
=== ACCEPTANCE CRITERIA === |
Checklist | YES |
=== EXECUTION INSTRUCTIONS === |
How to implement | MANDATORY |
=== IMPORTANT RULES === |
Constraints | MANDATORY |
=== COMPLETION SIGNAL === |
touch .claude-task-complete | MANDATORY |
DO NOT generate prompts without the EXECUTION INSTRUCTIONS, IMPORTANT RULES, and COMPLETION SIGNAL sections.
When to Use
- After editing task files in
tasks/ - To regenerate prompts with updated template
- Before running
cpo runif prompts are missing - To test different prompt formats
Input Requirements
The parallel directory must have:
parallel/TS-XXXX-slug/
manifest.json # Required: wave structure, agents
context.md # Required: shared context
contracts/ # Required: types.py, api-schema.yaml
tasks/ # Required: task-*.md files
task-001-users.md
task-002-products.md
Output
Generates:
parallel/TS-XXXX-slug/
prompts/
agent-prompts.md # Wave summary and launch commands
task-001.txt # Individual agent prompt
task-002.txt
...
Workflow
flowchart TB
Start[("tasks/ folder")]
Read["1. Read manifest.json"]
Context["2. Load context.md"]
Parse["3. Parse each task file"]
Generate["4. Generate task-NNN.txt"]
Summary["5. Create agent-prompts.md"]
Done[("prompts/ ready")]
Start --> Read
Read --> Context
Context --> Parse
Parse --> Generate
Generate --> Summary
Summary --> Done
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 · 353 lines · 36 tokens per session scan A 125aeff6ac83
parallel-prompt-generator is a skill published in the GitHub repository jpoutrin/product-forge (15 stars, last pushed 6mo ago), licensed MIT. It adds 36 tokens to every session and 2,547 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 2026-09-03.
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