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 Chloris-Blaxk/inno-agent-hub --skill differentiation-adaptergit clone --depth 1 https://github.com/Chloris-Blaxk/inno-agent-hubWrote 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/chloris-blaxk/inno-agent-hub/differentiation-adapter)<a href="https://agentmods.dev/skills/chloris-blaxk/inno-agent-hub/differentiation-adapter"><img src="https://agentmods.dev/badge/skills/chloris-blaxk/inno-agent-hub/differentiation-adapter/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/chloris-blaxk/inno-agent-hub/differentiation-adapter"><img src="https://agentmods.dev/badge/skills/chloris-blaxk/inno-agent-hub/differentiation-adapter.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 | $0.00181 | $0.03927 |
| Opus 5 | $0.00090 | $0.01963 |
| Sonnet 5 | $0.00036 | $0.00785 |
| Haiku 4.5 | $0.00018 | $0.00393 |
Grade A, and why
differentiation-adapter 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 3d 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.
The source is not reproduced here
No licence file
A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.
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.
- 3d ago Changed · +2 lines e9e4e4d06975
- 11d ago First seen · 243 lines · 181 tokens per session scan A c0da58034f27
differentiation-adapter is a skill published in the GitHub repository Chloris-Blaxk/inno-agent-hub (12 stars, last pushed 4d ago), with no licence file. It adds 181 tokens to every session and 3,927 once invoked, about $0.0009 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.
Other skills, from other repositories
differentiation-adapter
Adapt a classroom task for specific learner needs while preserving the core learning objective intact. Use when differentiating for SEND, EAL, gifted, ADHD, dyslexia, or anxiety.
inclusive-design-orchestrator
Coordinates UDL and differentiation tools through a universal-first hierarchy: barrier removal before targeted differentiation before individualised accommodation. Use when planning accessible learning.
udl-lesson-auditor
Audits an existing lesson against UDL's three principles — engagement, representation, and action/expression. Identifies specific access barriers and suggests concrete modifications ranked by impact.
udl-options-designer
Generates multiple means of engagement, representation, and action/expression for a given learning goal. Produces specific, practical alternatives — not generic options — and recommends the highest-impact single change.
deck-course-module
A course or workshop slide template with persistent learning goals, teaching pages, multiple-choice self-tests, and a wrap-up.
sprite-animation
A pixel-art educational animation frame with large numbers or dates, a mascot, kinetic text, and a moving timeline. The repeating animation uses CSS keyframes, which are browser rules for changing visual properties over time.