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 ZSeven-W/craft-skills --skill logo-semantic-fusiongit clone --depth 1 https://github.com/ZSeven-W/craft-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/zseven-w/craft-skills/logo-semantic-fusion)<a href="https://agentmods.dev/skills/zseven-w/craft-skills/logo-semantic-fusion"><img src="https://agentmods.dev/badge/skills/zseven-w/craft-skills/logo-semantic-fusion/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/zseven-w/craft-skills/logo-semantic-fusion"><img src="https://agentmods.dev/badge/skills/zseven-w/craft-skills/logo-semantic-fusion.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Output Handling · line 65 Output size or generation rate is not bounded. Unbounded output enables denial-of-service through resource exhaustion, log flooding, or context-window stuffing.Fix: Set explicit limits on output length, generation count, and rate. Use max_tokens and truncation to prevent unbounded output.
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 | $0.00104 | $0.01296 |
| Opus 5 | $0.00052 | $0.00648 |
| Sonnet 5 | $0.00021 | $0.00259 |
| Haiku 4.5 | $0.00010 | $0.00130 |
Grade A, and why
logo-semantic-fusion 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 13d 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 — 95 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Logo Semantic Fusion
Build one structurally shared idea. Do not force fusion when a simpler wordmark, single symbol, or broader identity system serves the brand better.
Route the references
- Read references/concept-methods.md before designing or substantially redesigning a mark.
- Read references/review-checklist.md before scoring, comparing, or accepting a visual result.
- Read references/source-notes.md only to explain provenance or resolve an ambiguous method.
Choose one mode
- Design or redesign: Run the full workflow. Preserve stated redesign invariants before exploring.
- Critique: Inspect the supplied artifact and report evidence, hard-gate failures, and the smallest useful revisions. Do not redesign unless asked.
- Compare: Apply the same brief, scales, and hard gates to every candidate. Allow
reject all; do not invent a new candidate unless asked. - Prompt-only: Produce a production prompt, constraints, and future acceptance tests. Do not generate an artifact or claim visual QA, similarity screening, or production readiness.
Run the applicability gate
Proceed with fusion concepting only when all are true:
- At least two distinct brand signals are worth encoding.
- A plausible shared contour, stroke, void, glyph skeleton, or module system can carry them.
- Fusion improves the brand idea without sacrificing required-script legibility, category trust, or recognition at the intended scale.
If any condition fails, state why and recommend a pure wordmark, single symbol, abstract mark, or identity-system route. In critique or compare mode, treat forced fusion as a finding instead of ending the review.
Establish the brief
Extract or reasonably infer:
- name, pronunciation, audience, category, promise, and personality;
- target contexts and smallest committed size;
- required scripts, must-keep elements, and forbidden motifs;
- color, background, accessibility, and delivery constraints.
What ships with it
6 files 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.
- 13d ago First seen · 95 lines · 104 tokens per session scan A 55a31d60aa04
logo-semantic-fusion is a skill published in the GitHub repository ZSeven-W/craft-skills (151 stars, last pushed 7d ago), licensed Apache-2.0. It adds 104 tokens to every session and 1,296 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 2026-08-30.
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