Agent skill

Omh Award Bar Score

by rlaope in rlaope/oh-my-hermes

[omh] Aiming for design-award quality: score a web surface against published design-award judging axes and name the binding constraint.

MITAuto-check passedFrontend & Design

Install Omh Award Bar Score

skills CLI
$ npx skills add rlaope/oh-my-hermes --skill omh-award-bar-score -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install rlaope/oh-my-hermes omh-award-bar-score --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/rlaope/oh-my-hermes.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/omh-award-bar-score .claude/skills/omh-award-bar-score && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
omh-award-bar-score
GitHub stars
3.2k
Token cost
~2.1k tokens
SKILL.md length
1,094 words
Files
2 (incl. references)
Skills in repo
143
Repo updated
First seen
Licence
MIT

At a glance

[omh] Aiming for design-award quality: score a web surface against published design-award judging axes and name the binding constraint.

  • The user says: award-bar-score
  • SKILL.md covers Why This Exists, Do Not Use When, Examples and Completion Checklist, plus 5 more sections
  • Calls make
  • Award bar score

What it does

Omh Award Bar Score is an agent skill from rlaope/oh-my-hermes. [omh] Aiming for design-award quality: score a web surface against published design-award judging axes and name the binding constraint. Use when the user says: award-bar-score, award bar score, award winning, award-winning, award winning website, award-winning website, award winning design, award ready.

Its SKILL.md is about 2.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/award-judging-model.md`).

It sits in Frontend & Design, covering Accessibility. The repository describes itself as: All in one plugin for Hermes Agent ⚚ the coding intelligence, a long-term memory system and model optimized workflow packages. The licence is MIT.

When your agent uses it

  • The user says: award-bar-score
  • Award bar score
  • Award winning website
  • Award-winning website

Example prompts

  • “/omh-award-bar-score”

What it can do on your machine

Read from SKILL.md and the folder at commit 7cd0d02. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • make

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Omh Award Bar Score loads about 2.1k tokens when it runs, and up to ~3.6k if it reads all its reference files. Until then it costs about 81 tokens; SKILL.md has 1,094 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~81
When it runs · the whole SKILL.md, loaded when a task matches
~2.1k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~3.6k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from rlaope/oh-my-hermes at commit 7cd0d02, republished under its MIT licence (© rlaope). 1,094 words, ~2,080 tokens.

Download SKILL.mdSave it as .claude/skills/omh-award-bar-score/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
omh-award-bar-score
description
[omh] Aiming for design-award quality: score a web surface against published design-award judging axes and name the binding constraint. Use when the user says: award-bar-score, award bar score, award winning, award-winning, award winning website, award-winning website, award winning design, award ready.

Award Bar Score

This is a Hermes-native award-bar-score workflow skill.

Why This Exists

award-bar-score gives "make it award-winning" a measurable meaning: published axes, published weights, a published threshold, and the one axis holding the surface below it — instead of a taste argument nobody can settle.

Do Not Use When

  • The request is broad premium quality across decks, PDFs, or posters; use design-quality-gate.
  • The request is frontend implementation, layout, or design-system work; use frontend.
  • The request is WCAG, keyboard, or screen-reader conformance; use accessibility-audit.
  • The request is a rendered capture or a pixel verdict; use visual-qa.
  • The award is a business, sales, or team award with no judged web surface.

Examples

Good example:

  • Prompt: score our landing page against the css design awards bar and tell me what is holding it back
  • Expected behavior: Prepare award_bar_score/v1 with per-axis UI/UX/innovation scores from rendered evidence, the weighted total against the 8.0 threshold, the binding constraint, and the accessibility/performance tradeoff ledger.
  • Why: The request asks for a measured comparison against a published external bar, not a general polish pass.

Bad example:

  • Prompt: award-bar-score confirm this site will win website of the day
  • Expected behavior: Score the axes against the published model and refuse the outcome claim; a jury scores submissions and OMH does not.
  • Why: A rubric self-assessment cannot predict a jury result.

Completion Checklist

  • Each of UI, UX, and innovation carries its own score and the rendered evidence it was read from.
  • The weighted total is computed from the stated weights and compared against the published threshold.
  • The binding constraint names one axis and what moving it requires.
  • Any innovation move that costs accessibility or performance budget is recorded as a tradeoff the user chooses.
  • No award, jury, placement, or selection outcome is claimed.

Recovery Notes

  • If no rendered evidence exists, keep every axis not_observed and route the capture to visual-qa before scoring.
  • If the award body publishes no weights, score the axes separately and report the total as unweighted rather than inventing a ratio.

Workflow Lane

  • Current lane: Materials and visual summaries (design-orchestration, apple-design, design-quality-gate, award-bar-score, frontend, accessibility-audit, visual-qa, content-operator, +6 more) - web, accessibility, visual QA, files, and packages.
  • If intent belongs to another lane, hand back to oh-my-hermes or name the adjacent workflow.
  • Shared product, routing, compatibility, and evidence rules: omh-routing/references/skill-common-rail.md.

Use When

Use when a web surface must be judged against an external award bar: per-axis scores for UI, UX, and innovation, the weighted total against the published threshold, and the one axis holding the score down.

Strong routing signals: `award-bar-score`, `award bar score`, `award winning`, `award-winning`, `award winning website`, `award-winning website`, `award winning design`, `award ready`, `make it award winning`, `design award`, `design awards`, `css design awards`, `cssda`, `awwwards`, `site of the day`, `website of the day`, `wotd`, `score my site`, `어워드`, `디자인 어워드`, `어워드 수준`, `수상작 수준`, `수상 가능한 디자인`, `어워드 받을만한`, `올해의 사이트`

Catalog Metadata

Category: materials Phase: award-bar-score Hermes role: operator Quality tier: design-orchestration-gated Reasoning demand: standard

Quality bar:

  • Score each axis separately with named rendered evidence, then compute the weighted total; an overall impression is not a score and hides which axis is failing.
  • Reserve binding-constraint language for a total within about 0.3 of the threshold. Measured axis spread is roughly a twentieth of site spread, so further below the bar a weak axis is a symptom: report that the site needs a level change, never a one-axis fix.
  • Load references/award-judging-model.md for the published axes, weights, and thresholds, the measured per-axis score table, and the stack table that separates entry-fee craft (fluid type, real typography) from optional spend (WebGL).
  • Record what an innovation move costs on the accessibility and performance budgets before recommending it; half the sampled motion-heavy winners drop prefers-reduced-motion, and the two highest-scoring entries keep it, so never present the inaccessible path as the higher-scoring one.

Handoff policy:

Keep axis scoring, the weighted total, the binding-constraint call, and the tradeoff ledger in Hermes. Route implementation to frontend, WCAG evidence to accessibility-audit, and rendered captures to visual-qa; never score an axis from a description of a page instead of the page.

Required inputs:

  • the target URL, route, or rendered capture being judged
  • the award model and its published axes, weights, and threshold
  • the surface's own accessibility and performance budgets
  • audience and primary user task
Show full SKILL.md (384 more words)Show less

Expected outputs:

  • award_bar_score/v1
  • per-axis scores with named evidence for UI, UX, and innovation
  • the weighted total and its distance from the published threshold
  • the binding constraint: the axis whose gain moves the total most
  • tradeoff_ledger/v1 when an innovation move costs accessibility or performance budget
  • downstream route: frontend, accessibility-audit, visual-qa, or design-quality-gate

Artifact expectations:

  • award_bar_score/v1 with prepared_not_observed status
  • every axis score cites the rendered evidence it was read from, or stays not_observed
  • the weighted total is arithmetic over the stated weights, never an impression
  • no claim that a submission would win, place, or be selected

Safety rules:

  • A self-assessment against a published rubric is never an award, a jury outcome, or a prediction of one; juries score submissions, and OMH does not.
  • Never score an axis without rendered evidence; an unrendered page keeps every axis not_observed.
  • Quote axis weights and thresholds only from the award body's published rules, and name the body and the date they were read.
  • Accessibility and performance budgets outrank the innovation axis; when a move breaks one, record the tradeoff and let the user choose rather than defaulting to the score.
  • Do not call a browser, network service, screenshot tool, or executor from OMH core.

Runtime Evidence

Record observed delegation results; otherwise return not_available or not_observed. Prepared OMH routing is not execution, review, CI, merge-readiness, or merge evidence.

  • Treat wrapper memory/context summaries as advisory local context, not proof of opaque Hermes memory reads or changes. Preserve workflow intent and stop conditions; verify before claiming completion. Reply in the user's own words and the host's own voice: its SOUL.md persona owns reply language, tone, speech level, and sentence endings, progress updates included (where it sets no language, use the one the user wrote in), and OMH shapes structure and content only; OMH's record terms (surface, lane, wrapper, handoff, evidence boundary, not_observed) stay in records and tool calls, never in the sentence the user reads unless they ask about one; and when a stop condition or a decision the user owns ends the turn, offer the next action as a question rather than declaring what will not be done.

Use Hermes-native subagent/delegation features when available: native subagents -> Hermes delegation when available, otherwise sequential lanes.

Shared product, compatibility, topology, memory, harness, and execution rules: omh-routing/references/skill-common-rail.md. Load it when applicable; otherwise name an unavailable capability.

© rlaope, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file (references) in skills/omh-award-bar-score of rlaope/oh-my-hermes.

  • SKILL.md
  • references/award-judging-model.md

Open the folder on GitHubat commit 7cd0d02

Compare with similar skills

Omh Award Bar Score next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Omh Award Bar Score compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Omh Award Bar Score this skillrlaope/oh-my-hermes3.2k—~2.1kAutomated safety check: PassMIT
Web Interface Guidelines Reviewervercel-labs/openreview1.7k97 repos~308Automated safety check: PassNone
Accessibility Reviewmarkmead/hyperui12k1 repos~1.1kAutomated safety check: PassMIT
Web Animation DesignbaptisteArno/typebot.io11k2 repos~2.7kAutomated safety check: PassCustom licence
Accessibility Fixeribelick/ui-skills9.6k4 repos~1.2kAutomated safety check: PassMIT
Wcag Audit PatternsvmDeshpande/ai-agent-automation17811 repos~610Automated safety check: PassApache-2.0

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Questions about Omh Award Bar Score

What does Omh Award Bar Score do?

[omh] Aiming for design-award quality: score a web surface against published design-award judging axes and name the binding constraint. Omh Award Bar Score is an agent skill from rlaope/oh-my-hermes. [omh] Aiming for design-award quality: score a web surface against published design-award judging axes and name the binding constraint.

When should I use Omh Award Bar Score?

Omh Award Bar Score fits situations like: the user says: award-bar-score; award bar score; award winning website; award-winning website.

How do I install Omh Award Bar Score in Claude Code?

Run `npx skills add rlaope/oh-my-hermes --skill omh-award-bar-score -a claude-code`. Or copy the skill folder (skills/omh-award-bar-score in rlaope/oh-my-hermes) into .claude/skills/omh-award-bar-score in your project. Claude Code loads it when a task matches its description.

How do I install Omh Award Bar Score in Codex?

Run `npx skills add rlaope/oh-my-hermes --skill omh-award-bar-score -a codex`. Or copy the skill folder (skills/omh-award-bar-score in rlaope/oh-my-hermes) into .agents/skills/omh-award-bar-score in your project. Codex loads it when a task matches its description.

Can I use Omh Award Bar Score in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add rlaope/oh-my-hermes --skill omh-award-bar-score -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/omh-award-bar-score, .gemini/skills/omh-award-bar-score, .github/skills/omh-award-bar-score and .opencode/skills/omh-award-bar-score in your project.

What does Omh Award Bar Score need to run?

Going by SKILL.md and its folder, Omh Award Bar Score needs the command-line tools its instructions call (make).

Does Omh Award Bar Score access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Omh Award Bar Score safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Omh Award Bar Score use?

Omh Award Bar Score is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Omh Award Bar Score use?

About 2.1k tokens (SKILL.md is roughly 8.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 1.5k tokens, read only when the agent opens those files.

What are the alternatives to Omh Award Bar Score?

Skills that share tags, products or a category with Omh Award Bar Score: Web Interface Guidelines Reviewer (vercel-labs/openreview, 1.7k stars), Accessibility Review (markmead/hyperui, 12k stars), Web Animation Design (baptisteArno/typebot.io, 11k stars) and Accessibility Fixer (ibelick/ui-skills, 9.6k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Omh Award Bar Score?

rlaope (a GitHub user) maintains it in rlaope/oh-my-hermes, which has 3,243 GitHub stars. The repository holds 143 skills in this directory. The repository was last updated on October 10, 2026.

Source: rlaope/oh-my-hermes on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.