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 agentmods add skills/educlopez/ui-craft/remembernpx skills add educlopez/ui-craft --skill remembergit clone --depth 1 https://github.com/educlopez/ui-craftWhat 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 | $0.00039 | $0.00529 |
| Opus 5 | $0.00019 | $0.00264 |
| Sonnet 5 | $0.00008 | $0.00106 |
| Haiku 4.5 | $0.00004 | $0.00053 |
Grade A, and why
remember 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 2d 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 — 41 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Context: this sub-skill is one lens of the broader ui-craft skill. If the ui-craft skill is also installed, read its SKILL.md first for Discovery + Anti-Slop + Craft Test, then apply the specific lens below.
Load references/brief.md (sections 6 + Self-Correction) before proceeding.
Step 1: Capture the constraint
From the argument (or the immediately preceding correction in the conversation), capture:
- What changed or is preferred — the concrete rule.
- Why — the reason. Mandatory; without it the constraint can't generalize. If it isn't stated, ask one short question.
- Phrase the rule so a future build can apply it without this conversation's context.
Step 2: Write it to the brief
Append a dated entry to section 6 (Learned constraints) of .ui-craft/brief.md:
- **YYYY-MM-DD** — <the rule>. *Why:* <reason>.
Create the brief (run /brief) or the section 6 heading if absent. If the new constraint contradicts an existing principle or constraint, mark the old one deprecated with a dated reason (brief is append-mostly) rather than deleting it. Never store a rule that breaches the accessibility/correctness floor — record the closest compliant interpretation and say so.
Step 3: Cross-project reach (optional)
If the user signals this should apply to all their projects ("in all my projects", "whenever you work with me"), that's general memory, outside the brief's project scope:
- If an external memory service is available to the agent, mirror the constraint there so other projects inherit it.
- If not, record it in this brief and note that cross-project recall would need such a service.
Step 4: Confirm
Report in one line where it landed and what it changes, e.g.:
Recorded in the brief (learned constraint): never gradients on a hero here.
Next step: Keep working. The constraint now lives in the brief, so every future session reads it (rung 2).
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.
- 2d ago First seen · 41 lines · 39 tokens per session scan A 6ce04af8b57b
remember is a skill published in the GitHub repository educlopez/ui-craft (298 stars, last pushed 14d ago), licensed MIT. It adds 39 tokens to every session and 529 once invoked, about $0.0002 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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