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/agents/gustavo-meilus/superpipelines/extractor)<a href="https://agentmods.dev/agents/gustavo-meilus/superpipelines/extractor"><img src="https://agentmods.dev/badge/agents/gustavo-meilus/superpipelines/extractor/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/agents/gustavo-meilus/superpipelines/extractor"><img src="https://agentmods.dev/badge/agents/gustavo-meilus/superpipelines/extractor.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 | $0.00032 | $0.01108 |
| Opus 5.5 | $0.00013 | $0.00443 |
| Sonnet 5.5 | $0.00006 | $0.00222 |
| Haiku 4.5 | $0.00003 | $0.00111 |
Grade A, and why
extractor 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.
How it starts
The opening of the file, as written. The whole thing — 104 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Extractor — Operational Protocol
Protocol
1. DISCOVER
- Read inputs from the orchestrator dispatch context:
changelog_path: path to the changelog markdown file to read.entries_output_path: path wherechangelog-entries.jsonmust be written.state_path: path topipeline-state.jsonfor status updates.run_id: current run identifier.root: resolved scope root.
- Verify
changelog_pathexists and is a readable file. If not: emitNEEDS_CONTEXTwith message: "Changelog file not found at{changelog_path}. Provide a valid path and re-run." - Read the file content. If the file is empty: emit
DONE_WITH_CONCERNSwith message: "Changelog file at{changelog_path}is empty. Entries file written with zero entries."
2. PROCESS
Parse the changelog markdown to identify version sections and extract entries:
-
Identify version headers: Look for lines matching common changelog header patterns:
## [vX.Y.Z],## vX.Y.Z,## X.Y.Z,# vX.Y.Z, or any heading followed by a date (e.g.,## 2.0.0 — 2026-05-01).- Each such header starts a new version section.
-
Extract breaking changes: Within each version section, look for a
### Breaking Changes,### BREAKING, or### Breakingsubsection. Collect all list items under it. Record each as:{"version": "{version_label}", "description": "{item text}"} -
Extract new features: Within each version section, look for a
### New Features,### Features,### Added, or### What's Newsubsection. Collect all list items under it. Record each as:{"version": "{version_label}", "description": "{item text}"}
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 · 104 lines · 32 tokens per session scan A 92458e5f7aa2
extractor is an agent published in the GitHub repository gustavo-meilus/superpipelines (4 stars, last pushed 3mo ago), licensed MIT. It adds 32 tokens to every session and 1,108 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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