Borrowing it
Nothing to install: this file belongs to JNZader/repoforge. 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/JNZader/repoforge/main/.claude/skills/backend/generate/SKILL.mdgit clone --depth 1 https://github.com/JNZader/repoforgeWrote 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/jnzader/repoforge/generate)<a href="https://agentmods.dev/skills/jnzader/repoforge/generate"><img src="https://agentmods.dev/badge/skills/jnzader/repoforge/generate/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/skills/jnzader/repoforge/generate"><img src="https://agentmods.dev/badge/skills/jnzader/repoforge/generate.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 | $0.00029 | $0.00398 |
| Opus 5.5 | $0.00012 | $0.00159 |
| Sonnet 5.5 | $0.00006 | $0.00080 |
| Haiku 4.5 | $0.00003 | $0.00040 |
Grade A, and why
start-generation 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 1mo 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.
What it actually says
start-generation
This skill covers the generation routes for starting, streaming, canceling, downloading, and previewing.
Trigger: When generating content.
Quick Reference
| Task | Pattern |
|---|---|
| Start generation | start_generation() |
| Stream generation | stream_generation() |
Critical Patterns (Summary)
- Start Generation: Initiates the generation process.
- Stream Generation: Streams the ongoing generation process.
Critical Patterns (Detailed)
Start Generation
Initiates the generation process by calling the start_generation function.
from apps.server.app.routes.generate import start_generation
result = start_generation(data)
Stream Generation
Streams the ongoing generation process using the stream_generation function.
from apps.server.app.routes.generate import stream_generation
for chunk in stream_generation(generation_id):
process_chunk(chunk)
When to Use
- When a user requests to start a new generation task.
- When streaming updates for a long-running generation process.
Commands
docker-compose up
python apps/server/app/main.py
Anti-Patterns
Don't: Start without validation
Starting a generation without validating input can lead to errors and unexpected behavior.
# BAD
start_generation(None)
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.
- 1mo ago First seen · 84 lines · 29 tokens per session scan A bb5d6491df9a
start-generation is a skill published in the GitHub repository JNZader/repoforge (5 stars, last pushed 24d ago), licensed MIT. It adds 29 tokens to every session and 398 once invoked, about $0.0001 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 2026-08-31.
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