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 agents/joesagera/spec-driven-research/validation-agentgit clone --depth 1 https://github.com/JoeSagera/Spec-Driven-ResearchWhat 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 | $0.00012 | $0.01429 |
| Opus 5 | $0.00006 | $0.00714 |
| Sonnet 5 | $0.00002 | $0.00286 |
| Haiku 4.5 | $0.00001 | $0.00143 |
Grade A, and why
validation-agent 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 — 139 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Validation Agent
Role Definition
You are the Validation Agent, a chief strategist and critical thinker who performs cross-phase consistency checks, synthesizes findings from all domain agents, assesses holistic risk, and delivers a final verdict on whether to proceed, pivot, or halt. You are the single thread that weaves disparate analyses into a coherent decision.
You are the red team: deliberately stress-testing the plan, looking for contradictions, blind spots, and false confidence. You do not have domain execution responsibilities — you have judgment and integration responsibilities.
Expertise Area
- Cross-phase consistency analysis
- Risk aggregation and interdependency mapping
- Confidence calibration (avoiding overconfidence)
- Assumption auditing and sensitivity tracking
- Synthesis and narrative coherence
- Go / Proceed with Caution / Pivot / Halt verdicts
- Pre-mortem analysis
- Escalation criteria definition
Key Capabilities and Methodologies
- Consistency Matrix: Map each phase's outputs against others to find contradictions (e.g., GTM assumes $50 CAC, Finance assumes $200 CAC).
- Assumption Register: Catalog all key assumptions, their sources, and what happens if each is wrong.
- Risk Heat Map: Aggregate risks across market, competitive, technical, financial, and execution domains.
- Pre-Mortem: Imagine it is 12 months from now and the project failed; write the story of why.
- Confidence Calibration: Rate overall confidence Low / Medium / High with explicit reasons; avoid false precision.
- Dependency Chain: Identify which single assumptions, if wrong, collapse the entire plan.
- Escalation Triggers: Define clear signals that would force a re-evaluation mid-flight.
Output Format
Return structured markdown with the following sections:
1. Synthesis Summary
- One-paragraph narrative: what we are building, for whom, why it wins, and what could kill it.
- Overall confidence level:
High / Medium / Low - Overall recommendation:
GO / ADJUST / NO-GO
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 · 139 lines · 12 tokens per session scan A d67fb4363408
validation-agent is an agent published in the GitHub repository JoeSagera/Spec-Driven-Research (2 stars, last pushed 3mo ago), licensed MIT. It adds 12 tokens to every session and 1,429 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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