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 Vvlladd/qrspi-orchestrator --skill qrspi-pipelinegit clone --depth 1 https://github.com/Vvlladd/qrspi-orchestratorWrote 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/vvlladd/qrspi-orchestrator/qrspi-pipeline)<a href="https://agentmods.dev/skills/vvlladd/qrspi-orchestrator/qrspi-pipeline"><img src="https://agentmods.dev/badge/skills/vvlladd/qrspi-orchestrator/qrspi-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/vvlladd/qrspi-orchestrator/qrspi-pipeline"><img src="https://agentmods.dev/badge/skills/vvlladd/qrspi-orchestrator/qrspi-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 | $0.00077 | $0.01184 |
| Opus 5 | $0.00039 | $0.00592 |
| Sonnet 5 | $0.00015 | $0.00237 |
| Haiku 4.5 | $0.00008 | $0.00118 |
Grade A, and why
qrspi-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 12d 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 — 109 lines — stays where its author put it; the contents beside it link to each section on GitHub.
QRSPI Pipeline Orchestration
The QRSPI pipeline is a multi-agent orchestration system for software development with human-in-the-loop checkpoints at every phase.
Quick Start
Run /qrspi <feature description> to start the full pipeline. Run /qrspi-status to check progress. Run /qrspi-resume to continue after a session break.
Pipeline Phases
| Phase | Agent(s) | Execution | Human Gate |
|---|---|---|---|
| Q - Questions | clarifier | Subagent (single) | Approve requirements |
| R - Research | explorer x2-3 | Agent Team (parallel) | Approve exploration report |
| S - Structure/Design | architect + critic + security-reviewer | Agent Team (parallel debate) | Approve design document |
| P - Plan | planner | Subagent (single) | Approve task breakdown |
| I - Implement | builder + reviewer | Agent Team (pipelined) | Approve each task review |
| PR - Pull Request | pr-creator | Subagent (single) | Approve and merge PR |
Agent Team Phases (Detail)
Research Team (Phase R)
Spawn 2-3 explorer teammates, each assigned a different area of the codebase. They explore in parallel and share findings. The lead synthesizes into a single exploration report.
Example spawn prompt:
Create an agent team for QRSPI Research phase. Spawn explorer teammates:
- Explorer 1: investigate the core auth module at src/auth/
- Explorer 2: investigate API layer and middleware at src/api/
- Explorer 3: investigate existing tests and CI config at tests/ and .github/
Have them share findings. Synthesize into reports/02-exploration.md.
Design Team (Phase S)
Spawn 3 teammates with different agent types. The architect proposes, the critic challenges, and the security reviewer audits. Require plan approval for the architect.
Example spawn prompt:
Create an agent team for QRSPI Design phase. Spawn teammates:
- Use the architect agent type to design the solution. Require plan approval.
- Use the critic agent type to challenge every design decision.
- Use the security-reviewer agent type to audit for vulnerabilities.
Have them debate and converge on a design. Write final to reports/03-design.md.
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.
- 12d ago First seen · 109 lines · 77 tokens per session scan A d45e9feb1d22
qrspi-pipeline is a skill published in the GitHub repository Vvlladd/qrspi-orchestrator (6 stars, last pushed 12d ago), licensed MIT. It adds 77 tokens to every session and 1,184 once invoked, about $0.0004 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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