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 Owl-Listener/inclusive-design-skills --skill memory-load-reductiongit clone --depth 1 https://github.com/Owl-Listener/inclusive-design-skillsWrote 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/owl-listener/inclusive-design-skills/memory-load-reduction)<a href="https://agentmods.dev/skills/owl-listener/inclusive-design-skills/memory-load-reduction"><img src="https://agentmods.dev/badge/skills/owl-listener/inclusive-design-skills/memory-load-reduction/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/owl-listener/inclusive-design-skills/memory-load-reduction"><img src="https://agentmods.dev/badge/skills/owl-listener/inclusive-design-skills/memory-load-reduction.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 | $0.00076 | $0.00528 |
| Opus 5 | $0.00038 | $0.00264 |
| Sonnet 5 | $0.00015 | $0.00106 |
| Haiku 4.5 | $0.00008 | $0.00053 |
Grade A, and why
memory-load-reduction 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 11d 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 — 61 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Memory Load Reduction
Design systems that remember so users don't have to. Working memory holds roughly 4 items. Every piece of information the user must carry across screens, steps, or sessions is a potential failure point.
Core Principle
If the system can remember it, the user shouldn't have to.
Design Patterns
Persistent Context
- Show key selections throughout a multi-step flow (chosen product, plan, date visible on every step)
- Display running totals in shopping and financial contexts
- Keep the user's search query visible in results
- In multi-step forms, show a summary sidebar of completed steps
Forward Carry
- Never re-ask information the system already has
- Pre-fill fields from earlier steps or previous sessions
- Carry context between screens (if the user selected "Business", don't ask "Personal or Business?" again)
- Remember user preferences across sessions
External Memory Aids
- "Compare" features so users don't need to remember options
- Recently viewed and recently used lists
- Copy-to-clipboard for reference numbers and codes
- Print-friendly versions of complex information
- Bookmarking or favouriting for later reference
Save and Resume
- Auto-save progress in any flow longer than 3 steps
- Allow users to return to where they left off
- Show when progress was last saved
- Send a reminder link for abandoned multi-step tasks
- Never require starting over when a session expires
Chunked Process
- Break tasks into 3–7 clearly labelled steps
- One decision per step where possible
- Allow forward and backward movement between steps
- Show progress: "Step 2 of 4: Choose your plan"
- Provide a review/summary screen before final submission
Assessment Questions
- Does the user need to remember anything from a previous screen?
- Is any information hidden that the user might need to reference?
- Can the user leave and come back without losing progress?
- Are there places where the user needs to transfer information between screens manually (e.g., write down a code)?
- Does the system re-ask for information it already knows?
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.
- 11d ago First seen · 61 lines · 76 tokens per session scan A 9f44acc844d2
memory-load-reduction is a skill published in the GitHub repository Owl-Listener/inclusive-design-skills (98 stars, last pushed 3mo ago), licensed MIT. It adds 76 tokens to every session and 528 once invoked, about $0.0004 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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