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 mr-tbot/Auto-Everything --skill auto-brand-paritygit clone --depth 1 https://github.com/mr-tbot/Auto-EverythingWrote 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/mr-tbot/auto-everything/auto-brand-parity)<a href="https://agentmods.dev/skills/mr-tbot/auto-everything/auto-brand-parity"><img src="https://agentmods.dev/badge/skills/mr-tbot/auto-everything/auto-brand-parity/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/mr-tbot/auto-everything/auto-brand-parity"><img src="https://agentmods.dev/badge/skills/mr-tbot/auto-everything/auto-brand-parity.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 3 findings, 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 Rogue Agent · line 62 Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
- medium Excessive Agency · line 177 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
- medium Excessive Agency · line 178 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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 | $0.00097 | $0.02640 |
| Opus 5 | $0.00048 | $0.01320 |
| Sonnet 5 | $0.00019 | $0.00528 |
| Haiku 4.5 | $0.00010 | $0.00264 |
Grade A, and why
auto-brand-parity 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 9d 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 — 181 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/auto-brand-parity
Establish what this product's brand actually is, then make every platform agree with it — and say plainly where an asset is missing, wrong-sized, or derived from the wrong master.
The failure this exists for: the website has the current logo, the Android icon is two versions old, the macOS icon was exported from a screenshot, the store listing uses a third blue, and nothing is broken enough to notice until they sit side by side.
Step 1 — Establish The Brand (interactive by default)
Ask before assuming, and ask for artifacts rather than descriptions:
- A vector master. SVG, AI, PDF, or a Figma frame. Everything below derives from it. A raster logo caps the quality ceiling permanently — at 16px an upscaled PNG is mush and there is no recovering it. If none exists, say so as a finding and offer to trace or rebuild one.
- The palette, as values: brand color, accent, background, and the light/dark variants.
- Fonts, and — the part that gets skipped — whether they are licensed for embedding in an app, which is a different grant from web use.
- A monochrome / single-color variant, which several platforms require and nobody has ready.
- Existing brand guidelines, clear-space and minimum-size rules if they exist.
- A media/reference folder if the user has one, for inspiration or actual assets to use.
If the user has none of this, derive a candidate from the most load-bearing existing asset, show what you derived, and get one confirmation before generating anything from it.
Step 2 — Inventory What Exists
Find every asset the product ships, per platform, with its real dimensions:
rg --files -g '{*.ico,*.icns,*.iconset,*.png,*.svg,*.webp,*.jpg}' \
-g '{**/AppIcon.appiconset/**,**/mipmap-*/**,**/res/drawable*/**,**/Assets.xcassets/**}' \
-g '{**/public/**,**/static/**,**/build/icons/**,**/snap/gui/**}' -g '!node_modules' -g '!.git'
identify -format '%f %wx%h %[colorspace]\n' path/to/*.png # ImageMagick
file *.ico *.icns
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.
- 9d ago First seen · 181 lines · 97 tokens per session scan A d08142c55b37
auto-brand-parity is a skill published in the GitHub repository mr-tbot/Auto-Everything (7 stars, last pushed 8d ago), licensed MIT. It adds 97 tokens to every session and 2,640 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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