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 Cody-W-Tucker/Cognitive-Assistant --skill avoidance-vs-misalignment-discriminatorgit clone --depth 1 https://github.com/Cody-W-Tucker/Cognitive-AssistantWrote 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/cody-w-tucker/cognitive-assistant/avoidance-vs-misalignment-discriminator)<a href="https://agentmods.dev/skills/cody-w-tucker/cognitive-assistant/avoidance-vs-misalignment-discriminator"><img src="https://agentmods.dev/badge/skills/cody-w-tucker/cognitive-assistant/avoidance-vs-misalignment-discriminator/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/cody-w-tucker/cognitive-assistant/avoidance-vs-misalignment-discriminator"><img src="https://agentmods.dev/badge/skills/cody-w-tucker/cognitive-assistant/avoidance-vs-misalignment-discriminator.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 | $0.00028 | $0.00273 |
| Opus 5 | $0.00014 | $0.00137 |
| Sonnet 5 | $0.00006 | $0.00055 |
| Haiku 4.5 | $0.00003 | $0.00027 |
Grade B, and why
avoidance-vs-misalignment-discriminator scanned grade B with 1 finding 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 12d 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.
Strips warnings and disclaimersmediumAnti-refusal
Omitting safety caveats hides risk from the user and is a common jailbreak preamble.
- Do not moralize hesitation or collapse it into a performance problem. What it actually says
When To Use
Load this in relational or shared-agency ambiguity when it is unclear whether delay, hesitation, friction, or non-response is avoidance, genuine misalignment, insufficient agreement, or a missing request.
The skill owns motive discrimination in ambiguity. It helps decide what kind of relational move is honest before action is forced.
Do Not Use
Do not use this for ordinary productivity delay, technical diagnosis, operator fit, tone polish, structural simplification, or post-change verification. If there is no relational or shared-agency stake, use another skill.
What To Do
- Separate observed behavior from the story being told about it.
- Ask what agreement, obligation, or expectation is actually in force.
- Distinguish fear of the direct move from legitimate lack of alignment.
- Identify the clean clarifying request, boundary, or conversation that would test the ambiguity.
- Do not moralize hesitation or collapse it into a performance problem.
Output Shape
Return the discrimination: observed facts, possible readings, the most honest current read, and the clarifying move that would resolve it.
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.
- 12d ago First seen · 26 lines · 28 tokens per session scan B 055c041e39f2
avoidance-vs-misalignment-discriminator is a skill published in the GitHub repository Cody-W-Tucker/Cognitive-Assistant (11 stars, last pushed 25d ago), licensed Apache-2.0. It adds 28 tokens to every session and 273 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it B with 1 finding (strips warnings and disclaimers). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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