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/localplugins/plugins/generate-logonpx skills add localplugins/plugins --skill generate-logogit clone --depth 1 https://github.com/localplugins/pluginsWhat 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 | $0.00090 | $0.01368 |
| Opus 5 | $0.00045 | $0.00684 |
| Sonnet 5 | $0.00018 | $0.00274 |
| Haiku 4.5 | $0.00009 | $0.00137 |
Grade A, and why
generate-logo 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 yesterday.
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 — 116 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Generate Logo
Generates on-brand, editable SVG logo assets — wordmark, monogram, and favicon — from the active brand profile as pure vector output.
Overview
The generate-logo skill turns a saved brand profile into three ready-to-use logo
variants that reuse the brand's exact palette and heading font. Output is vector SVG,
so every asset scales without loss and needs no account, key, or network call. The
generator (lib/logo.mjs) draws each variant deterministically; the skill resolves
the active profile, runs that generator, saves the files, and routes them through
review. Raster copies are produced only on demand through the /brand-export command.
Prerequisites
- An active brand profile created with
/brand-new(abrand/directory, orbrands/[slug]/with abrand/.activepointer). Read loads itscolor-system.jsonandtypography.json. - Node.js on the PATH — the generator runs as
node lib/logo.mjs. - Write access to an
output/directory in the working repository. - Optional: the
sharpdependency, only if PNG copies are wanted later.
Instructions
-
Run
/brand-status(orresolveActiveinlib/brand.mjs) to confirm which brand is active; if none exists, tell the user to run/brand-newand stop. -
Use Glob to locate the active brand directory, then Read and validate the profile with
validateProfile. Stop with the offending field if validation fails, for example a non-hex color. -
Decide the logo text — the optional
textargument, defaulting to the brandname. Ask the user when it is ambiguous. -
Generate the three variants by running the deterministic node generator:
import { loadProfile } from '../../lib/brand.mjs'; import { buildLogos } from '../../lib/logo.mjs'; const profile = loadProfile(activeDir); const { wordmark, monogram, favicon } = buildLogos(profile, { text: 'Northwind' }); -
Write each variant with the Write tool:
output/[slug]-wordmark.svg,output/[slug]-monogram.svg, andoutput/[slug]-favicon.svg. -
Hand the files to the
visual-guardiansubagent for a palette, contrast, and clear-space pass; apply its fixes or surface its flags. -
Report the saved paths and describe each variant. To customize sizing or adapt the geometry, edit the SVG directly or consult the reference below.
What ships with it
1 file 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.
- yesterday First seen · 116 lines · 90 tokens per session scan A 50e5ee74bf9d
generate-logo is a skill published in the GitHub repository localplugins/plugins (5 stars, last pushed 1mo ago), licensed MIT. It adds 90 tokens to every session and 1,368 once invoked, about $0.0005 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 2026-08-31.
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logo-creator
Generate professional brand logos — wordmark, icon, combination mark, monogram, emblem, or abstract mark — with structured generation prompts (logo type, style, color, detail level). Supports reference-inspired original marks and iterative refinement on an approved logo. Use when the deliverable is a single logo or…
brainstorm-okrs
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pre-mortem
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ab-test-analysis
Analyze A/B test results with statistical significance, sample size validation, confidence intervals, and ship/extend/stop recommendations. Use when evaluating experiment results, checking if a test reached significance, interpreting split test data, or deciding whether to ship a variant.
dummy-dataset
Generate realistic dummy datasets for testing with customizable columns, constraints, and output formats (CSV, JSON, SQL, Python script). Use when creating test data, building mock datasets, or generating sample data for development and demos.