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 ivy00johns/Skill-Madness --skill model-adaptationgit clone --depth 1 https://github.com/ivy00johns/Skill-MadnessWrote 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/ivy00johns/skill-madness/model-adaptation)<a href="https://agentmods.dev/skills/ivy00johns/skill-madness/model-adaptation"><img src="https://agentmods.dev/badge/skills/ivy00johns/skill-madness/model-adaptation.svg" alt="Measured on agentmods" 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 | $0.00232 | $0.06419 |
| Opus 5 | $0.00116 | $0.03209 |
| Sonnet 5 | $0.00046 | $0.01284 |
| Haiku 4.5 | $0.00023 | $0.00642 |
Grade A, and why
model-adaptation 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 today.
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 — 356 lines — stays where its author put it; the contents beside it link to each section on GitHub.
model-adaptation
The toolkit's home for what changes about your prompts, skills, and scaffolding when the underlying model changes — currently the Claude 5 family (Fable 5 + Mythos 5) succeeding Opus 4.x, plus the cross-vendor DeepSeek landscape (V4 flash/pro). It advises and audits; it does not build.
skill-writer/skill-reviewenforce the authoring half,loop-controllerthe long-run half, andorchestratorthe multi-agent half — this skill is where the why and the migration checklist live so those enforcement points stay in sync.
Why this skill exists
Model-adaptation guidance is the kind that rots. It's true only relative to a model
generation, it cuts across every skill, and it has no natural owner — so it survives
as scattered asides ("Fable 5 reroutes flagged agents", a stray /effort note) that
drift out of date the moment a new model ships and nobody remembers to reconcile them.
This skill is the single owner. When a new model lands, you update one landscape
table here and re-run the migration audit, instead of hunting the toolkit for stale
assumptions. Everything model-specific is quarantined in the Current landscape
section below; the patterns are written to outlive it.
Source of record: Anthropic's Prompting Claude Fable 5 and Prompting best practices; for DeepSeek runs, the DeepSeek API docs and Thinking Mode. Re-fetch these when a new model generation ships — that's the trigger to update this skill.
The core move: a capability jump means PRUNE, not ADD
The reflex when a stronger model arrives is to write more guidance to exploit it. That reflex is usually wrong. A skill written for a weaker model is a cast made around that model's failure modes — enumerated do's and don'ts, rigid templates, anti-laziness nagging, "show your work" instructions. A stronger model has fewer of those failure modes, so the cast now constrains rather than supports it, and Anthropic measures this as a real degradation in output quality, not a wash.
What ships with it
7 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.
- today Changed · +53 lines · -1 tokens per session 98fdae8ebcd1
- 8d ago First seen · 303 lines · 233 tokens per session scan A 7f1e1b418372
model-adaptation is a skill published in the GitHub repository ivy00johns/Skill-Madness (11 stars, last pushed today), licensed MIT. It adds 232 tokens to every session and 6,419 once invoked, about $0.0012 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 2026-08-30.
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