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 notque/vexjoy-agent --skill with-anti-rationalizationgit clone --depth 1 https://github.com/notque/vexjoy-agentWrote 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/notque/vexjoy-agent/with-anti-rationalization)<a href="https://agentmods.dev/skills/notque/vexjoy-agent/with-anti-rationalization"><img src="https://agentmods.dev/badge/skills/notque/vexjoy-agent/with-anti-rationalization/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/notque/vexjoy-agent/with-anti-rationalization"><img src="https://agentmods.dev/badge/skills/notque/vexjoy-agent/with-anti-rationalization.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00019 | $0.02499 |
| Opus 5.5 | $0.00008 | $0.01000 |
| Sonnet 5.5 | $0.00004 | $0.00500 |
| Haiku 4.5 | $0.00002 | $0.00250 |
Grade A, and why
with-anti-rationalization 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 25d 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 — 250 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Anti-Rationalization Enforcement Skill
Overview
This skill operates as a composable modifier that wraps any task with explicit anti-rationalization enforcement. It implements the Gate Enforcement architectural pattern—every phase transition requires evidence, every completion claim requires proof—with Pressure Resistance embedded to prevent quality erosion under time or social pressure.
This skill is not a substitute for domain-specific methodologies (debugging, refactoring, testing have their own skills). Instead, it layers anti-rationalization checks on top of whatever task you're executing. It adds intentional overhead for safety on critical work where shortcuts cause harm.
Instructions
Phase 1: LOAD PATTERNS
Goal: Load all anti-rationalization patterns relevant to the task before starting work.
Constraint: Full pattern loading is mandatory because domain-specific patterns catch rationalizations that the core set misses.
Step 1: Identify task domain
Classify the task to determine which domain-specific patterns apply:
| Domain | Pattern to Load |
|---|---|
| Any task | anti-rationalization-core.md |
| Code review | anti-rationalization-review.md |
| Testing | anti-rationalization-testing.md |
| Security | anti-rationalization-security.md |
| Multi-phase work | gate-enforcement.md |
| User pressure detected | pressure-resistance.md |
| Pre-completion | verification-checklist.md |
Step 2: Load and acknowledge patterns
Read the identified shared-pattern files. Internalize the rationalization tables and enforcement rules. Constraint: State explicitly which patterns were loaded and why—this creates accountability and prevents performative checking.
Gate: All relevant patterns are loaded and acknowledged. Proceed only when you can articulate why each pattern applies. Rubber-stamp gate checks fail the purpose of the skill, so explain why each pattern is relevant before moving on.
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.
- 26d ago Changed · -208 lines · +2 tokens per session 2169d23b1a8a
- 27d ago Changed 030e321489b0
- 1mo ago First seen · 250 lines · 19 tokens per session scan A 52056283fa90
with-anti-rationalization is a skill published in the GitHub repository notque/vexjoy-agent (442 stars, last pushed today), licensed MIT. It adds 19 tokens to every session and 2,499 once invoked, about $0.0001 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 2026-09-03.
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