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 summarybotng/summarybot-ng --skill validation-pipelinegit clone --depth 1 https://github.com/summarybotng/summarybot-ngWrote 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/summarybotng/summarybot-ng/validation-pipeline)<a href="https://agentmods.dev/skills/summarybotng/summarybot-ng/validation-pipeline"><img src="https://agentmods.dev/badge/skills/summarybotng/summarybot-ng/validation-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/summarybotng/summarybot-ng/validation-pipeline"><img src="https://agentmods.dev/badge/skills/summarybotng/summarybot-ng/validation-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 | $0.00027 | $0.01448 |
| Opus 5 | $0.00014 | $0.00724 |
| Sonnet 5 | $0.00005 | $0.00290 |
| Haiku 4.5 | $0.00003 | $0.00145 |
Grade A, and why
Validation 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 6d 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 — 165 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Validation Pipeline
Purpose
Run structured validation pipelines that execute steps sequentially, enforce gates at blocking failures, and produce scored reports. Uses the src/validation/pipeline.ts framework with 13 requirements validation steps (BMAD-003).
Activation
- When validating requirements documents
- When running structured quality gates
- When assessing document completeness, testability, or traceability
- When invoked via
/validation-pipeline
Quick Start
# Validate a requirements document (all 13 steps)
/validation-pipeline requirements docs/requirements.md
# Validate with specific steps only
/validation-pipeline requirements docs/requirements.md --steps format-check,completeness-check,invest-criteria
# Continue past blocking failures
/validation-pipeline requirements docs/requirements.md --continue-on-failure
# Output as JSON
/validation-pipeline requirements docs/requirements.md --json
Workflow
Step 1: Read the Target Document
Read the file specified by the user. If no file is provided, ask for one.
Read the target document using the Read tool.
Store the content for pipeline execution.
Step 2: Select Pipeline
Choose the appropriate pipeline based on the user's request:
| Pipeline | Steps | Use Case |
|---|---|---|
requirements |
13 | Requirements documents, PRDs, user stories |
Additional pipelines can be created by defining new step sets in src/validation/steps/.
Step 3: Execute Pipeline
The pipeline framework (src/validation/pipeline.ts) handles execution:
- Sequential execution — steps run in order, each receiving results from prior steps
- Gate enforcement — blocking steps that fail halt the pipeline (unless
--continue-on-failure) - Per-step scoring — each step produces a 0-100 score with findings and evidence
- Weighted rollup — overall score uses category weights (format=10%, content=30%, quality=25%, traceability=20%, compliance=15%)
What ships with it
3 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.
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.
- 6d ago First seen · 165 lines · 27 tokens per session scan A 155dbd91e344
Validation Pipeline is a skill published in the GitHub repository summarybotng/summarybot-ng (2 stars, last pushed 3mo ago), licensed MIT. It adds 27 tokens to every session and 1,448 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 2026-09-03.
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