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 skills add ggemba/squad-mcp --skill pipelinegit clone --depth 1 https://github.com/ggemba/squad-mcpWrote 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/ggemba/squad-mcp/pipeline)<a href="https://agentmods.dev/skills/ggemba/squad-mcp/pipeline"><img src="https://agentmods.dev/badge/skills/ggemba/squad-mcp/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/ggemba/squad-mcp/pipeline"><img src="https://agentmods.dev/badge/skills/ggemba/squad-mcp/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 | $0.00000 | $0.05002 |
| Opus 5 | $0.00000 | $0.02501 |
| Sonnet 5 | $0.00000 | $0.01000 |
| Haiku 4.5 | $0.00000 | $0.00500 |
Grade A, and why
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.
How it starts
The opening of the file, as written. The whole thing — 415 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill: Pipeline
Objective
Take a feature from idea to verified change by chaining the six squad skills into one auto-executed sequence: brainstorm → grillme → tasks → next → implement → review.
The pipeline is an executor with explicit gates (v1.5+). It (1)
reconstructs how far the feature has progressed from the conversation
context, (2) auto-invokes the next sub-skill via the Skill tool, and
(3) halts at each phase boundary to ask the user whether to proceed.
The user fires ONE entry command and answers inline gate questions; no
re-typing slash commands between phases.
Position in the workflow:
- The six skills run standalone when you want one step.
/squad:pipelineruns them as an executed sequence for a feature going cradle-to-grave, so the user never has to copy-paste a slash command between phases.
Inviolable Rules
- No telemetry of its own. The pipeline is an orchestration skill. It
MUST NOT call
record_run. Every sub-skill it invokes already records its own run; a "pipeline run" is not a tracked entity./squad:statsaggregates the sub-runs — that is the pipeline's telemetry, by composition. (The thin.squad/pipeline-state.jsonresume cache from Rule 3 is NOT telemetry — it is per-feature state for resume only and never feeds/squad:stats.) - Auto-execution between explicit gates. Pre-v1.5 the pipeline only
recommended commands and the user typed them. From v1.5 the pipeline
invokes sub-skills directly via the
Skilltool, but ONLY between explicit user-decision gates. Every phase boundary is a halt with anAskUserQuestion(proceed/adjust/skip/exit); sub-skills' own internal gates (e.g./squad:implementGate 1 plan approval, Gate 2 Blocker halt) keep firing as before. The pipeline never silently advances past a gate. The reserved interruption commands (see "Reserved commands" below) let the user break out at any point. - State persistence is a thin resume cache, not a journal. From
v1.5+ the pipeline writes a minimal
.squad/pipeline-state.jsonso the user can resume across context compaction or a closed session. The file carries phase status + 1-line outcomes only — NO full sub-skill outputs, NO secrets, NO conversation transcripts. File mode0o600, single-writer (only the pipeline writes), gitignored. On every/squad:pipelineinvocation the pipeline reads this file FIRST, then falls back to scanning conversation context for anything the file does not cover. See "State persistence" section below for schema + lifecycle. - No
git commit, nogit push. Read-only git for context is fine. Sub-skills own their own writes; the user owns commits. - Never edits source code directly. The pipeline only invokes sub-skills and prints inter-phase gate text. The sub-skills it invokes do the building.
- No AI attribution in anything the pipeline prints. Consistent with the squad-wide commit-authorship rule.
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 · 415 lines · 0 tokens per session scan A cee120d8e540
pipeline is a skill published in the GitHub repository ggemba/squad-mcp (4 stars, last pushed 1mo ago), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 5,002 tokens. 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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