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.
git clone --depth 1 https://github.com/gustavo-meilus/superpipelinesWrote 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/commands/gustavo-meilus/superpipelines/new-pipeline)<a href="https://agentmods.dev/commands/gustavo-meilus/superpipelines/new-pipeline"><img src="https://agentmods.dev/badge/commands/gustavo-meilus/superpipelines/new-pipeline/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/commands/gustavo-meilus/superpipelines/new-pipeline"><img src="https://agentmods.dev/badge/commands/gustavo-meilus/superpipelines/new-pipeline.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 | $0.00027 | $0.00341 |
| Opus 5 | $0.00014 | $0.00170 |
| Sonnet 5 | $0.00005 | $0.00068 |
| Haiku 4.5 | $0.00003 | $0.00034 |
Grade A, and why
new-pipeline 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 10d 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
New Pipeline — Command Entry
Invoke the creating-a-pipeline skill. The skill owns the full protocol (PHASE 0 tier detect → PHASE 0b git preflight → PHASE 1 scope & identity → PHASE 2 brief refinement 4D → PHASE 3 pattern selection → PHASE 4 design & audit loop → PHASE 5 human approval → PHASE 6 finalization).
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.
- 10d ago First seen · 22 lines · 27 tokens per session scan A 246920d68fa9
new-pipeline is a command published in the GitHub repository gustavo-meilus/superpipelines (4 stars, last pushed 1mo ago), licensed MIT. It adds 27 tokens to every session and 341 once invoked, about $0.0001 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 commands, from other repositories
revdiff
Review git diff with revdiff TUI, then fix all annotations.
al-pr-prepare
Prepare a clean, documented pull request draft for AL features or fixes with summary, testing notes, and checklist. Use when preparing a PR, creating a pull request, or documenting changes for review.
git-workflow
Manage Git workflows with best practices and common operations.
gh-review
Review a pull request with proper branch checkout and convention checks.
gh-pr
Create a pull request with full code review, quality gates, and reviewer suggestions.
auto-review.skeleton
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