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 EvoClaw/amplify --skill problem-validationgit clone --depth 1 https://github.com/EvoClaw/amplifyWrote 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/evoclaw/amplify/problem-validation)<a href="https://agentmods.dev/skills/evoclaw/amplify/problem-validation"><img src="https://agentmods.dev/badge/skills/evoclaw/amplify/problem-validation/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/evoclaw/amplify/problem-validation"><img src="https://agentmods.dev/badge/skills/evoclaw/amplify/problem-validation.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 | $0.00058 | $0.06408 |
| Opus 5.5 | $0.00023 | $0.02563 |
| Sonnet 5.5 | $0.00012 | $0.01282 |
| Haiku 4.5 | $0.00006 | $0.00641 |
Grade A, and why
problem-validation 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 1mo 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 — 591 lines — stays where its author put it; the contents beside it link to each section on GitHub.
"It's just data analysis, no need for validation" is the #1 reason Type D projects fail. DO NOT SKIP THIS PHASE.
Problem Validation (Phase 2)
Overview
A direction that survived Phase 1 is a candidate, not a commitment. This skill stress-tests the research problem through adversarial questioning before resources are invested. Passing this skill is required to enter method design.
Activation Flow
digraph problem_validation {
"G1 Passed" [shape=doublecircle];
"Pre-Step:\nKnown answer?\nUser-specified?" [shape=diamond, style=filled, fillcolor="#f0f0f0"];
"Tell user &\noffer alternatives" [shape=box];
"Novelty\nLitmus Test" [shape=box, style=filled, fillcolor="#ffe0e0"];
"Multi-Agent\nDeliberation\n(up to 5 rounds)" [shape=box, style=filled, fillcolor="#ffe0e0"];
"Converged?" [shape=diamond];
"Escalation:\nUser decides" [shape=box, style=filled, fillcolor="#ff9999"];
"Project Intent\nClassification" [shape=box, style=filled, fillcolor="#e0e0ff"];
"Venue Target\nPrecision" [shape=box, style=filled, fillcolor="#e0ffe0"];
"Feasibility\nAssessment" [shape=box, style=filled, fillcolor="#fff0d0"];
"All passed?" [shape=diamond];
"Phase 3:\nMethod Design" [shape=doublecircle];
"Return to\nPhase 1" [shape=doublecircle, style=filled, fillcolor="#ffcccc"];
"G1 Passed" -> "Pre-Step:\nKnown answer?\nUser-specified?";
"Pre-Step:\nKnown answer?\nUser-specified?" -> "Tell user &\noffer alternatives" [label="known answer"];
"Pre-Step:\nKnown answer?\nUser-specified?" -> "Novelty\nLitmus Test" [label="proceed"];
"Tell user &\noffer alternatives" -> "Novelty\nLitmus Test" [label="user chooses\nnew question"];
"Novelty\nLitmus Test" -> "Multi-Agent\nDeliberation\n(up to 5 rounds)";
"Multi-Agent\nDeliberation\n(up to 5 rounds)" -> "Converged?";
"Converged?" -> "Project Intent\nClassification" [label="all PASS"];
"Converged?" -> "Escalation:\nUser decides" [label="persistent FAIL\nor 5 rounds"];
"Escalation:\nUser decides" -> "Return to\nPhase 1" [label="return to\nexploration"];
"Escalation:\nUser decides" -> "Multi-Agent\nDeliberation\n(up to 5 rounds)" [label="try new\nformulation"];
"Escalation:\nUser decides" -> "Project Intent\nClassification" [label="proceed\nas-is"];
"Project Intent\nClassification" -> "Venue Target\nPrecision";
"Venue Target\nPrecision" -> "Feasibility\nAssessment";
"Feasibility\nAssessment" -> "All passed?";
"All passed?" -> "Phase 3:\nMethod Design" [label="all ✅"];
"All passed?" -> "Escalation:\nUser decides" [label="any ✗"];
}
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.
- 1mo ago First seen · 591 lines · 58 tokens per session scan A 66044467e0a3
problem-validation is a skill published in the GitHub repository EvoClaw/amplify (11 stars, last pushed 7mo ago), licensed MIT. It adds 58 tokens to every session and 6,408 once invoked, about $0.0002 per session on Opus 5.5. 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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