Getting it into your agent
This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.
/plugin marketplace add gustavo-meilus/superpipelines/plugin install 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/skills/gustavo-meilus/superpipelines/creating-a-pipeline)<a href="https://agentmods.dev/skills/gustavo-meilus/superpipelines/creating-a-pipeline"><img src="https://agentmods.dev/badge/skills/gustavo-meilus/superpipelines/creating-a-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/skills/gustavo-meilus/superpipelines/creating-a-pipeline"><img src="https://agentmods.dev/badge/skills/gustavo-meilus/superpipelines/creating-a-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 | $0.00029 | $0.04622 |
| Opus 5 | $0.00015 | $0.02311 |
| Sonnet 5 | $0.00006 | $0.00924 |
| Haiku 4.5 | $0.00003 | $0.00462 |
Grade A, and why
creating-a-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 11d 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 — 168 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Creating a Pipeline — Scaffolding Workflow
Workflow Phases
Do not delete the marker automatically — it is cleared by the next successful SessionStart hook.
- Load
sk-platform-dispatchvia theSkilltool → callDETECT()→ receiveplatform_profileobject. - Cache
platform_profilein session context (no state file exists yet during creation). - IF
platform_profile.degradation_warningsis non-empty: emit each warning with "⚠️" prefix before proceeding. - Q8 reviewer-isolation advisory: IF
platform_profile.capabilities.reviewer_isolation != "structural"(Tier 2; Tier 1c when un-verified), emit a pattern-specific advisory before pattern selection: "Patterns 2 and 5 depend on reviewer isolation for over-build / assumption-blindness defense. On this platform reviewer isolation is<reviewer_isolation>— review steps execute but cannot provide structural verification. Consider scaffolding production-critical pipelines from a structurally-isolated tier (Claude Code, OpenCode, or Codex)." - Store
platform_profilefor use in Phase 4 dispatch branching.
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.
- 11d ago First seen · 168 lines · 29 tokens per session scan A 4abd5444d6d7
creating-a-pipeline is a skill published in the GitHub repository gustavo-meilus/superpipelines (4 stars, last pushed 1mo ago), licensed MIT. It adds 29 tokens to every session and 4,622 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.
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