Arize Evaluator
github/awesome-copilot
Handles LLM-as-judge evaluation workflows on Arize including creating/updating evaluators, running evaluations on spans or experiments, managing tasks, trigger-run operations, column mapping, and…
A skill your agent uses when deciding whether a mod belongs in a modpack — judging mod quality, fit, risk, and pack-value BEFORE download/install.
$ npx skills add hashgraph-online/awesome-codex-plugins --skill evaluating-bgs-mods -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install hashgraph-online/awesome-codex-plugins evaluating-bgs-mods --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/hashgraph-online/awesome-codex-plugins.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/BB-84C/bgs-modding-superpowers/skills/evaluating-bgs-mods .claude/skills/evaluating-bgs-mods && rm -rf skills-srcUse ~/.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/
Install the "evaluating-bgs-mods" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/BB-84C/bgs-modding-superpowers/skills/evaluating-bgs-mods into .claude/skills/evaluating-bgs-mods/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "evaluating-bgs-mods", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/BB-84C/bgs-modding-superpowers/skills/evaluating-bgs-modsType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add hashgraph-online/awesome-codex-plugins --skill evaluating-bgs-mods -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install hashgraph-online/awesome-codex-plugins evaluating-bgs-mods --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/hashgraph-online/awesome-codex-plugins.git skills-src && mkdir -p .agents/skills && cp -r skills-src/plugins/BB-84C/bgs-modding-superpowers/skills/evaluating-bgs-mods .agents/skills/evaluating-bgs-mods && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "evaluating-bgs-mods" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/BB-84C/bgs-modding-superpowers/skills/evaluating-bgs-mods into .agents/skills/evaluating-bgs-mods/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "evaluating-bgs-mods", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add hashgraph-online/awesome-codex-plugins --skill evaluating-bgs-mods -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install hashgraph-online/awesome-codex-plugins evaluating-bgs-mods --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/hashgraph-online/awesome-codex-plugins.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/plugins/BB-84C/bgs-modding-superpowers/skills/evaluating-bgs-mods .cursor/skills/evaluating-bgs-mods && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "evaluating-bgs-mods" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/BB-84C/bgs-modding-superpowers/skills/evaluating-bgs-mods into .cursor/skills/evaluating-bgs-mods/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "evaluating-bgs-mods", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/hashgraph-online/awesome-codex-plugins.git --path plugins/BB-84C/bgs-modding-superpowers/skills/evaluating-bgs-mods--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add hashgraph-online/awesome-codex-plugins --skill evaluating-bgs-mods -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install hashgraph-online/awesome-codex-plugins evaluating-bgs-mods --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/hashgraph-online/awesome-codex-plugins.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/plugins/BB-84C/bgs-modding-superpowers/skills/evaluating-bgs-mods .gemini/skills/evaluating-bgs-mods && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "evaluating-bgs-mods" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/BB-84C/bgs-modding-superpowers/skills/evaluating-bgs-mods into .gemini/skills/evaluating-bgs-mods/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "evaluating-bgs-mods", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install hashgraph-online/awesome-codex-plugins evaluating-bgs-modsInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add hashgraph-online/awesome-codex-plugins --skill evaluating-bgs-mods -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/hashgraph-online/awesome-codex-plugins.git skills-src && mkdir -p .github/skills && cp -r skills-src/plugins/BB-84C/bgs-modding-superpowers/skills/evaluating-bgs-mods .github/skills/evaluating-bgs-mods && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "evaluating-bgs-mods" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/BB-84C/bgs-modding-superpowers/skills/evaluating-bgs-mods into .github/skills/evaluating-bgs-mods/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "evaluating-bgs-mods", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add hashgraph-online/awesome-codex-plugins --skill evaluating-bgs-mods -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install hashgraph-online/awesome-codex-plugins evaluating-bgs-mods --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/hashgraph-online/awesome-codex-plugins.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/plugins/BB-84C/bgs-modding-superpowers/skills/evaluating-bgs-mods .opencode/skills/evaluating-bgs-mods && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "evaluating-bgs-mods" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/BB-84C/bgs-modding-superpowers/skills/evaluating-bgs-mods into .opencode/skills/evaluating-bgs-mods/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "evaluating-bgs-mods", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
evaluating-bgs-modsA skill your agent uses when deciding whether a mod belongs in a modpack — judging mod quality, fit, risk, and pack-value BEFORE download/install.
Evaluating Bgs Mods is an agent skill from hashgraph-online/awesome-codex-plugins. Use when deciding whether a mod belongs in a modpack — judging mod quality, fit, risk, and pack-value BEFORE download/install. Triggers - "should I add this mod", "is this mod good", "评估这个mod", "这个mod值得装吗", "is this mod worth it", "this mod looks too good to be true", "compare these mods", "does this mod fit my pack". NOT for how to install a mod (use interpreting-mod-author-instructions), load order (writing-bgs-load-order), or conflict resolution (xedit-conflict-audit).
Its SKILL.md is about 2.8k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
The repository describes itself as: A curated list of awesome OpenAI Codex / ChatGPT plugins, skills, and resources. The 1 Codex Marketplace. See live plugins at: https://hol.org/plugins/best-codex-plugins. The licence is Apache-2.0.
12 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 9e7b281. It shows what the files ask for, not the result of running them.
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.
No scripts in the folder and no shell commands in SKILL.md (its code samples are dot).
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Evaluating Bgs Mods loads about 2.8k tokens when it runs. Until then it costs about 124 tokens; SKILL.md has 1,213 words of instructions outside code blocks.
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.
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.
The full file from hashgraph-online/awesome-codex-plugins at commit 9e7b281, republished under its Apache-2.0 licence (© hashgraph-online). 1,213 words, ~2,770 tokens.
.claude/skills/evaluating-bgs-mods/SKILL.md (or your agent's skills folder).BGS games are systems simulators, not stage plays: the pack is trying to build a world where behavior leaves traces, state feeds back, and stories happen because systems collide. A mod is not admitted because it looks impressive in isolation; it is admitted when it reinforces the pack's declared 风格 and the game's systemic feedback loop. Stability is the floor. 风格 is the soul.
+-----------------------------------------------------------------------------------------------+
| A mod earns a place in the pack only by fitting the pack's declared 风格 AND reinforcing the |
| game's systemic feedback -- popularity, screenshots, and download counts are inputs, never fit. |
+-----------------------------------------------------------------------------------------------+Use this skill when the decision is whether the mod belongs in the pack at all: quality, fit, risk, redundancy, and pack-value before download/install.
Do not use this skill as the primary skill for adjacent intents:
| User intent | Primary skill |
|---|---|
| "How do I install this?" / read the author's instructions / choose installer options | interpreting-mod-author-instructions |
Edit, enable, disable, sort, or reason about plugins.txt / load order | writing-bgs-load-order |
| Inspect actual records, winners, overrides, or conflict severity | xedit-conflict-audit |
Terminal handoff: after an INCLUDE or CONDITIONAL INCLUDE verdict, stop judging and hand the mod page to interpreting-mod-author-instructions. Inclusion says "worth considering"; it does not mean "install however you feel like it."
Use when:
Do not use when:
curating-bgs-modpack to name the axis being judged.digraph evaluating_bgs_mods {
rankdir=TB;
node [shape=box];
start [shape=doublecircle, label="Mod candidate"];
read_page [label="Read the mod page fully\n(author description, requirements, warnings, articles)"];
classify [label="Classify mod type\n(system rule? content? mechanics? visuals? patch?)"];
systemic [label="Systemic-fit check\nDoes it reinforce state feedback?\nQuery KB for game-specific facts"];
quality [label="Quality signals\n说明 quality, source integrity, article date, technical discussion"];
risk [label="Risk signals\nNo说明, scale, script/off-switch risk, object-density, incidental edits\nQuery KB"];
packfit [label="Pack-fit check\nDeclared 风格? redundant?\nSystemic-rule vs incidental edit?"];
value [shape=diamond, label="Risk worth pack value?"];
include [shape=doublecircle, label="INCLUDE\nthen hand off to install-instruction skill"];
conditional [shape=doublecircle, label="CONDITIONAL INCLUDE\nname conditions + hand off only after met"];
reject [shape=doublecircle, label="REJECT\nrecord why, do not download/install"];
start -> read_page -> classify -> systemic -> quality -> risk -> packfit -> value;
value -> include [label="clear fit, risks understood"];
value -> conditional [label="fit plausible, missing proof/conditions"];
value -> reject [label="off-style, unreadable risk, or low systemic value"];
}This skill teaches the judgment posture. It does not inline game-specific operational facts. For every evaluation, query the KB for current game-specific facts and community-standard operational signals before turning risk into a verdict.
Use at least these two query shapes:
bgs_kb_query({
query: "<mod type> risk signals",
domains: ["install-planning", "engine"],
games: ["<current game>"]
})
bgs_kb_query({
query: "mod-evaluation community operational signals",
domains: ["install-planning", "engine"],
games: ["<current game>"]
})[STOP] If you are about to write a game-specific fact into this file, STOP — it belongs in a KB record. This skill may say "query for risk signals"; it must not fossilize one game's current toolchain, engine limits, or crash-diagnosis lore.
| Thought | Reality |
|---|---|
| "No description, but lots of downloads, fine." | No 说明 means you cannot evaluate risk. Default reject. |
| "It was recommended in an old list, so it is trusted." | Community ecosystems change; yesterday's essential can become today's broken assumption. |
| "The rehost is enough; the files are the same." | Same binary without author 说明 loses the risk-evaluation surface. |
| "The scanner blames mod X, so remove X." | Auto-attribution is heuristic, not diagnosis. Do not yank by ritual. |
| "Stable load order means good pack." | Stability is the floor; declared 风格 is the goal. |
| "More dialogue/cinematic presentation automatically deepens RPG." | BGS's strength is state feedback; performance inflation can pull the pack off-axis. |
| "I have been doing this for two months; I understand the ecosystem now." | That is the documented over-confidence trap. Keep reading and cross-checking. |
| Excuse | Reality |
|---|---|
| "The 说明 is long English; skimming is enough." | Read it fully, even through machine translation. No read, no verdict. |
| "Install first; if it breaks, disable it." | Some mods do not cleanly disable. Uninstall is not rollback. |
| "Ordering does not matter; xEdit can patch anything." | True in principle can still be impractical at real pack scale. Prioritize judgment before creating repair debt. |
| "Patience is for beginners; I can go fast." | Patience avoids most avoidable failures. Speed without reading is not expertise. |
| "We can define style later; first make it stable." | Without declared 风格, you have no axis to decide fit. |
| "If it boots, the integration is correct." | Correctness is systemic: behavior must propagate coherently, not merely load. |
| "A few more decorative/object mods are harmless." | Visual clutter and placed-object density are still systemic risk; query KB before dismissing it. |
This section reflects an experienced curator's perspective, distilled from BB84's BGS modpack curation work. It is RECOMMENDED guidance, not enforced rule. If the user has explicit alternative intent (e.g. "I want a tactical FO4 build" or "I'm doing pure visual showcase"), the agent SHOULD adapt rather than push these defaults. The objective rules in this skill body still apply regardless.
When the user does not have a strong overriding style preference, the recommended evaluation lens applies these subjective biases:
See KB record mod-evaluation.bb84-curator-perspective-reference for the full
curator essay including the underlying Bethesda-design philosophy these biases
derive from.
interpreting-mod-author-instructions — terminal handoff after an INCLUDE/CONDITIONAL INCLUDE verdict; this skill decides fit, that skill reads how to install.curating-bgs-modpack — defines the pack 风格 this skill judges against.bgs_kb_query — query domains install-planning and engine, including the community-operational-signals record, for game-specific and current operational risk facts.© hashgraph-online, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in plugins/BB-84C/bgs-modding-superpowers/skills/evaluating-bgs-mods of hashgraph-online/awesome-codex-plugins.
Open the folder on GitHubat commit 9e7b281
Evaluating Bgs Mods 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Evaluating Bgs Mods this skillhashgraph-online/awesome-codex-plugins | 1.3k | — | ~2.8k | Automated safety check: Pass | Apache-2.0 | |
| Arize Evaluatorgithub/awesome-copilot | 40k | 1 repos | ~8.1k | Automated safety check: Notes | MIT | |
| EvaluatorsArize-ai/phoenix | 12k | — | ~1.7k | Automated safety check: Pass | Custom licence | |
| LLM Evaluationdavila7/claude-code-templates | 32k | 12 repos | ~3.5k | Automated safety check: Pass | MIT | |
| Agent Evaluationsickn33/agentic-awesome-skills | 47k | 1 repos | ~2k | Automated safety check: Pass | MIT | |
| Agent Evaluation Reportingsickn33/agentic-awesome-skills | 47k | 1 repos | ~2.1k | Automated safety check: Pass | MIT |
github/awesome-copilot
Handles LLM-as-judge evaluation workflows on Arize including creating/updating evaluators, running evaluations on spans or experiments, managing tasks, trigger-run operations, column mapping, and…
Arize-ai/phoenix
Author or refine a Phoenix evaluator — code or LLM-as-a-judge — that scores a run's output.
davila7/claude-code-templates
Master comprehensive evaluation strategies for LLM applications, from automated metrics to human evaluation and A/B testing.
sickn33/agentic-awesome-skills
Evaluate agent behavior with versioned cases and explicit verifiers.
sickn33/agentic-awesome-skills
A skill your agent uses when summarizing agent evaluations where autonomous, assisted, failed, timed-out, or invalid outcomes must remain distinct and comparable.
PostHog/posthog
Author continuously-running online evaluations in PostHog AI observability, grounded in real failure modes you've identified.
hashgraph-online/awesome-codex-plugins
Create original anime-style reaction stickers as looping GIFs and MP4 previews, using generated character pose sheets and timed key poses.
hashgraph-online/awesome-codex-plugins
Manage and query Calibre libraries with the calibredb CLI (local paths or Calibre Content server URLs).
hashgraph-online/awesome-codex-plugins
A skill your agent uses when adding, changing, testing, or debugging Rust HTTP APIs and services, especially when Codex needs black-box integration tests, random-port app startup, real database test…
hashgraph-online/awesome-codex-plugins
Make a studio's game look like something at build time — a cover from a real frame of the game (free), painted covers, backdrops, textures and character plates from image models through the…
hashgraph-online/awesome-codex-plugins
Use CALL-E from Codex through the calle CLI. An agent skill from hashgraph-online/awesome-codex-plugins.
hashgraph-online/awesome-codex-plugins
Balance game difficulty, resources, rewards, probability, progression, economies, and dominant strategies.
A skill your agent uses when deciding whether a mod belongs in a modpack — judging mod quality, fit, risk, and pack-value BEFORE download/install. Evaluating Bgs Mods is an agent skill from hashgraph-online/awesome-codex-plugins. Use when deciding whether a mod belongs in a modpack — judging mod quality, fit, risk, and pack-value BEFORE download/install.
Evaluating Bgs Mods fits situations like: deciding whether a mod belongs in a modpack — judging mod quality; pack-value BEFORE download/install; - should I add this mod; is this mod good.
Run `npx skills add hashgraph-online/awesome-codex-plugins --skill evaluating-bgs-mods -a claude-code`. Or copy the skill folder (plugins/BB-84C/bgs-modding-superpowers/skills/evaluating-bgs-mods in hashgraph-online/awesome-codex-plugins) into .claude/skills/evaluating-bgs-mods in your project. Claude Code loads it when a task matches its description.
Run `npx skills add hashgraph-online/awesome-codex-plugins --skill evaluating-bgs-mods -a codex`. Or copy the skill folder (plugins/BB-84C/bgs-modding-superpowers/skills/evaluating-bgs-mods in hashgraph-online/awesome-codex-plugins) into .agents/skills/evaluating-bgs-mods in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add hashgraph-online/awesome-codex-plugins --skill evaluating-bgs-mods -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/evaluating-bgs-mods, .gemini/skills/evaluating-bgs-mods, .github/skills/evaluating-bgs-mods and .opencode/skills/evaluating-bgs-mods in your project.
SKILL.md names no scripts, command-line tools or credentials: Evaluating Bgs Mods is instructions for the agent only.
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.
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.
Evaluating Bgs Mods is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 2.8k tokens (SKILL.md is roughly 11k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Evaluating Bgs Mods: Arize Evaluator (github/awesome-copilot, 40k stars), Evaluators (Arize-ai/phoenix, 12k stars), LLM Evaluation (davila7/claude-code-templates, 32k stars) and Agent Evaluation (sickn33/agentic-awesome-skills, 47k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
hashgraph-online (a GitHub organization) maintains it in hashgraph-online/awesome-codex-plugins, which has 1,255 GitHub stars. The repository holds 714 skills in this directory. The repository was last updated on October 9, 2026.
Source: hashgraph-online/awesome-codex-plugins on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.