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.
git clone --depth 1 https://github.com/obiwancenobi/klambenWrote 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/commands/obiwancenobi/klamben/normalize)<a href="https://agentmods.dev/commands/obiwancenobi/klamben/normalize"><img src="https://agentmods.dev/badge/commands/obiwancenobi/klamben/normalize/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/commands/obiwancenobi/klamben/normalize"><img src="https://agentmods.dev/badge/commands/obiwancenobi/klamben/normalize.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 | $0.00026 | $0.00448 |
| Opus 5.5 | $0.00010 | $0.00179 |
| Sonnet 5.5 | $0.00005 | $0.00090 |
| Haiku 4.5 | $0.00003 | $0.00045 |
Grade A, and why
normalize 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 1mo 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.
What it actually says
/normalize
Hoist hardcoded values into theme. Edits files.
When to use
- After
/auditflags visual/hardcoded-color, visual/inline-textstyle, or layout/magic-numbers - When preparing a screen for dark mode
- Before a rebrand
Process
- Check design context: If
.klamben.mdexists in the project root, read it first. Apply the project's brand, platform targets, accessibility tier, and existing patterns to your work below. - Find hardcoded colors (
Colors.X,Color(0xFF...))- Replace with
Theme.of(context).colorScheme.<semantic> - If no semantic exists in the current theme, add it to the theme extension
- Replace with
- Find inline
TextStylewith literalfontSize- Replace with
Theme.of(context).textTheme.<role>(+.copyWithif overrides needed)
- Replace with
- Find magic-number EdgeInsets (17, 23, etc.)
- Snap to nearest 4/8 grid value
- Extract repeated values to
Spacingtheme extension tokens
- Verify theme is set at
MaterialApplevel; add if missing - Show the diff
Output
normalize lib/screens/home.dart
- Container(color: Colors.purple)
+ Container(color: Theme.of(context).colorScheme.primary)
- TextStyle(fontSize: 18, fontWeight: FontWeight.w600)
+ Theme.of(context).textTheme.titleMedium
- EdgeInsets.all(17)
+ EdgeInsets.all(16)
3 replacements in 1 file.
Do NOT
- Change visual behavior (swap primary for secondary arbitrarily)
- Add new widgets or restructure layout
- Invent semantic tokens without user confirmation
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.
- 1mo ago First seen · 60 lines · 26 tokens per session scan A f901b41a6c68
normalize is a command published in the GitHub repository obiwancenobi/klamben (2 stars, last pushed 6mo ago), licensed Apache-2.0. It adds 26 tokens to every session and 448 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-08-31.
Other commands, from other repositories
plan-feature
Plan a feature from BRD-lite brief or clear intent into PRD (What), decisions, implementation plan, and task slices.
retro-learn
Convert delivery findings into skill, eval, workflow, and documentation improvements.
/a11y-audit
Auditoría de accesibilidad WCAG 2.2 completa con escaneo de HTML/componentes. Detecta: alt text faltante, problemas de contraste, navegación por teclado, etiquetas ARIA, gestión de focus, jerarquía de encabezados, etiquetas de formularios. Genera reporte accionable con instrucciones de remediación.
contract
Advance a parallel-change plan from migrate to contract phase, verifying zero callers reference the old signature. Provided by the Parallel Change methodology.
speckit.md-doctor.drift
Re-evaluate since the last run: compute the git/.memsearch/TDD delta, re-score previously graded files in light of what changed, and report which past suggestions were resolved or are now stale/false.
speckit.tdd.plan
Derive the feature's test list by delegating to zfa tdd plan (deterministic engine); falls back to LLM-guided derivation only when zfa is unavailable.