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 agentmods add skills/hatmanstack/ragstack-lambda/pipelinenpx skills add HatmanStack/RAGStack-Lambda --skill pipelinegit clone --depth 1 https://github.com/HatmanStack/RAGStack-LambdaWhat 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 | $0.00049 | $0.03985 |
| Opus 5 | $0.00024 | $0.01992 |
| Sonnet 5 | $0.00010 | $0.00797 |
| Haiku 4.5 | $0.00005 | $0.00398 |
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 2d 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 — 404 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Pipeline Orchestrator
You coordinate the adversarial development pipeline. Each role runs as a separate agent with a fresh context window. Your job is to spawn agents, read their signals, and route work accordingly.
Read pipeline-protocol.md for the full signal protocol before starting.
Input
$ARGUMENTS is the plan identifier in YYYY-MM-DD-slug format (e.g., 2026-03-12-user-auth). Plan files live at docs/plans/$ARGUMENTS/.
Pre-Flight & Type Detection
- Read
pipeline-protocol.mdto load the signal protocol - Detect pipeline type by checking which intake document exists at
docs/plans/$ARGUMENTS/:
+-------------------------------------------------------------------+
| PIPELINE TYPE ROUTING |
+-------------------------------------------------------------------+
| |
| Check which intake docs exist at docs/plans/$ARGUMENTS/: |
| |
| brainstorm.md exists? → type: feature (default flow below) |
| Multiple audit docs? → type: audit (unified plan) |
| health-audit.md only? → type: repo-health |
| eval.md only? → type: repo-eval |
| doc-audit.md only? → type: doc-health |
| none found? → tell user to run an intake skill |
| |
+-------------------------------------------------------------------+
Each pipeline type uses a distinct intake filename — no frontmatter parsing needed for routing.
- Glob for all intake docs at
docs/plans/$ARGUMENTS/to determine which exist - If
brainstorm.mdexists: it runs alone — continue with the feature flow stages below. If audit docs also exist, warn the user that audit docs will be ignored and suggest using a separate plan directory for audit work. - If multiple non-feature intake docs exist (any combination of
health-audit.md,eval.md,doc-audit.md): Readflows/audit-flow.mdand follow it. This creates ONE unified plan across all audit types. Stop reading this file and follow the flow file. - If exactly one non-feature intake doc exists: read the corresponding flow file and follow it. Stop reading this file and follow the flow file.
- If none found: tell the user to run an intake skill first
What ships with it
20 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- doc-auditor.md 6.6 KB
- doc-engineer.md 4.3 KB
- doc-reviewer.md 4.1 KB
- eval-day2.md 6.2 KB
- eval-hire.md 5.4 KB
- eval-stress.md 6.2 KB
- final_reviewer.md 7.2 KB
- flows/audit-flow.md 12 KB
- flows/doc-health-flow.md 8.1 KB
- flows/repo-eval-flow.md 9.7 KB
- flows/repo-health-flow.md 9.2 KB
- health-auditor.md 5.6 KB
- health-fortifier.md 5.0 KB
- health-hygienist.md 4.4 KB
- health-reviewer.md 4.8 KB
- implementer.md 5.6 KB
- pipeline-protocol.md 5.7 KB
- plan_reviewer.md 5.7 KB
- planner.md 9.1 KB
- reviewer.md 5.9 KB
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.
- 2d ago First seen · 404 lines · 49 tokens per session scan A a163b7ad3e36
pipeline is a skill published in the GitHub repository HatmanStack/RAGStack-Lambda (25 stars, last pushed 4d ago), licensed Apache-2.0. It adds 49 tokens to every session and 3,985 once invoked, about $0.0002 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 2026-08-30.
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