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…
Evaluate-Loop Step 2: EVALUATE PLAN. An agent skill from Ibrahim-3d/orchestrator-supaconductor.
$ npx skills add Ibrahim-3d/orchestrator-supaconductor --skill loop-plan-evaluator -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install Ibrahim-3d/orchestrator-supaconductor loop-plan-evaluator --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/Ibrahim-3d/orchestrator-supaconductor.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/loop-plan-evaluator .claude/skills/loop-plan-evaluator && 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 "loop-plan-evaluator" agent skill from https://github.com/Ibrahim-3d/orchestrator-supaconductor/tree/master/skills/loop-plan-evaluator into .claude/skills/loop-plan-evaluator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "loop-plan-evaluator", 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/Ibrahim-3d/orchestrator-supaconductor/tree/master/skills/loop-plan-evaluatorType 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 Ibrahim-3d/orchestrator-supaconductor --skill loop-plan-evaluator -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install Ibrahim-3d/orchestrator-supaconductor loop-plan-evaluator --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Ibrahim-3d/orchestrator-supaconductor.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/loop-plan-evaluator .agents/skills/loop-plan-evaluator && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "loop-plan-evaluator" agent skill from https://github.com/Ibrahim-3d/orchestrator-supaconductor/tree/master/skills/loop-plan-evaluator into .agents/skills/loop-plan-evaluator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "loop-plan-evaluator", 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 Ibrahim-3d/orchestrator-supaconductor --skill loop-plan-evaluator -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install Ibrahim-3d/orchestrator-supaconductor loop-plan-evaluator --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Ibrahim-3d/orchestrator-supaconductor.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/loop-plan-evaluator .cursor/skills/loop-plan-evaluator && 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 "loop-plan-evaluator" agent skill from https://github.com/Ibrahim-3d/orchestrator-supaconductor/tree/master/skills/loop-plan-evaluator into .cursor/skills/loop-plan-evaluator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "loop-plan-evaluator", 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/Ibrahim-3d/orchestrator-supaconductor.git --path skills/loop-plan-evaluator--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 Ibrahim-3d/orchestrator-supaconductor --skill loop-plan-evaluator -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install Ibrahim-3d/orchestrator-supaconductor loop-plan-evaluator --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Ibrahim-3d/orchestrator-supaconductor.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/loop-plan-evaluator .gemini/skills/loop-plan-evaluator && 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 "loop-plan-evaluator" agent skill from https://github.com/Ibrahim-3d/orchestrator-supaconductor/tree/master/skills/loop-plan-evaluator into .gemini/skills/loop-plan-evaluator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "loop-plan-evaluator", 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 Ibrahim-3d/orchestrator-supaconductor loop-plan-evaluatorInstalls 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 Ibrahim-3d/orchestrator-supaconductor --skill loop-plan-evaluator -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/Ibrahim-3d/orchestrator-supaconductor.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/loop-plan-evaluator .github/skills/loop-plan-evaluator && 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 "loop-plan-evaluator" agent skill from https://github.com/Ibrahim-3d/orchestrator-supaconductor/tree/master/skills/loop-plan-evaluator into .github/skills/loop-plan-evaluator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "loop-plan-evaluator", 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 Ibrahim-3d/orchestrator-supaconductor --skill loop-plan-evaluator -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install Ibrahim-3d/orchestrator-supaconductor loop-plan-evaluator --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Ibrahim-3d/orchestrator-supaconductor.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/loop-plan-evaluator .opencode/skills/loop-plan-evaluator && 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 "loop-plan-evaluator" agent skill from https://github.com/Ibrahim-3d/orchestrator-supaconductor/tree/master/skills/loop-plan-evaluator into .opencode/skills/loop-plan-evaluator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "loop-plan-evaluator", 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.
loop-plan-evaluatorEvaluate-Loop Step 2: EVALUATE PLAN. An agent skill from Ibrahim-3d/orchestrator-supaconductor.
Loop Plan Evaluator is an agent skill from Ibrahim-3d/orchestrator-supaconductor. Evaluate-Loop Step 2: EVALUATE PLAN. Use this agent to verify an execution plan before any code is written. Checks scope alignment, overlap with completed work, DAG validity, dependency correctness, task clarity, and invokes Board of Directors for major tracks. Outputs PASS/FAIL verdict. Triggered by: 'evaluate plan', 'review plan', 'check plan before executing'. Always runs after loop-planner and before loop-executor.
Its SKILL.md is about 2.6k 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: Multi-agent orchestration system for Claude Code with parallel execution, automated quality gates, Board of Directors, and bundled Superpowers skills. The licence is AGPL-3.0.
5 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 76c9b10. 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 markdown, json, python and typescript).
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.
Loop Plan Evaluator loads about 2.6k tokens when it runs. Until then it costs about 111 tokens; SKILL.md has 474 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 Ibrahim-3d/orchestrator-supaconductor at commit 76c9b10, republished under its AGPL-3.0 licence (© Ibrahim-3d). 474 words, ~2,630 tokens.
.claude/skills/loop-plan-evaluator/SKILL.md (or your agent's skills folder).Pre-execution quality gate. Verifies the plan is correct and scoped before any implementation begins. This prevents the exact problem that caused the PLAN-005 design system rebuild — an agent executing work that was already done.
For major tracks (architecture, features with 5+ tasks, integrations, infrastructure), this step also invokes the Board of Directors for multi-perspective expert review.
plan.md — the plan to evaluate (including DAG)spec.md — requirements to check againstconductor/tracks.md — completed tracks (overlap check)metadata.json — track type and priorityCheck every task against spec.md:
| For Each Task | Check |
|---|---|
| Is it in spec? | Task must trace to a specific spec requirement |
| Is it needed? | Would removing this task leave a spec requirement unmet? |
| Is it scoped? | Does the task do only what spec asks, not more? |
Output:
### Scope Alignment: PASS ✅ / FAIL ❌
- Tasks in spec: [X]/[Y]
- Tasks NOT in spec (scope creep): [list]
- Spec requirements NOT covered: [list]Cross-reference with tracks.md and the codebase:
| Check | Method |
|---|---|
| Track overlap | Compare plan tasks against completed track deliverables |
| File overlap | Check if planned files already exist in codebase |
| Component overlap | Check if planned components already exist |
Output:
### Overlap Detection: PASS ✅ / FAIL ❌
- Overlapping tasks: [list with which track already did them]
- Files that already exist: [list]
- Recommendation: [SKIP/MODIFY/PROCEED for each overlap]Verify task ordering and prerequisites:
| Check | Question |
|---|---|
| Track deps | Are prerequisite tracks marked complete in tracks.md? |
| Task ordering | Do later tasks depend on earlier tasks being done first? |
| External deps | Are required packages/APIs available? |
Output:
### Dependencies: PASS ✅ / FAIL ❌
- Missing track dependencies: [list]
- Misordered tasks: [list]
- Missing external dependencies: [list]Evaluate each task for clarity and completeness:
| Check | Criteria |
|---|---|
| Specific | Action is clear (not vague like "set up infrastructure") |
| Acceptance criteria | Can you objectively verify completion? |
| File targets | Expected file paths are listed? |
| Session-sized | Can be completed in one sitting? |
Output:
### Task Quality: PASS ✅ / FAIL ❌
- Vague tasks: [list with suggestions to clarify]
- Missing acceptance criteria: [list]
- Oversized tasks (should split): [list]Verify the dependency graph is valid for parallel execution:
| Check | Method |
|---|---|
| DAG exists | Plan contains dag: block with nodes and parallel_groups |
| No cycles | Topological sort succeeds (no circular dependencies) |
| Valid refs | All depends_on references point to existing task IDs |
| File conflicts | Parallel groups with shared files have coordination strategy |
| Levels correct | Tasks in same parallel_group are at same topological level |
Cycle Detection Algorithm:
def detect_cycles(dag):
"""Returns True if cycle exists, False otherwise."""
visited = set()
rec_stack = set()
def dfs(node_id):
visited.add(node_id)
rec_stack.add(node_id)
node = next((n for n in dag['nodes'] if n['id'] == node_id), None)
for dep in node.get('depends_on', []):
if dep not in visited:
if dfs(dep):
return True
elif dep in rec_stack:
return True # Cycle detected
rec_stack.remove(node_id)
return False
for node in dag['nodes']:
if node['id'] not in visited:
if dfs(node['id']):
return True
return FalseOutput:
### DAG Validation: PASS ✅ / FAIL ❌
- DAG present: yes/no
- Nodes: [count]
- Parallel groups: [count]
- Cycle detected: yes/no (list cycle path if yes)
- Invalid references: [list of broken depends_on]
- Conflict issues: [list parallel groups with unhandled file conflicts]For major tracks, invoke the Board of Directors for expert deliberation:
When to invoke Board:
architecture, integration, or infrastructureBoard Invocation:
// If track qualifies for board review
if (isMajorTrack(metadata)) {
// Initialize board session via message bus
const boardResult = await invokeBoardMeeting(
proposal: plan.md content,
context: { spec, metadata, dag }
);
// Store board session in metadata
metadata.loop_state.board_sessions.push({
session_id: boardResult.session_id,
checkpoint: "EVALUATE_PLAN",
verdict: boardResult.verdict,
vote_summary: boardResult.votes,
conditions: boardResult.conditions,
timestamp: new Date().toISOString()
});
// Board verdict affects overall evaluation
if (boardResult.verdict === "REJECTED") {
return FAIL with board conditions;
}
}Output:
### Board Review: PASS ✅ / FAIL ❌ / SKIPPED ⏭️
- Board invoked: yes/no (reason if no)
- Directors voted: [CA, CPO, CSO, COO, CXO]
- Verdict: APPROVED / APPROVED_WITH_REVIEW / REJECTED
- Vote breakdown: [X] APPROVE / [Y] REJECT
- Conditions from board:
1. [Condition 1] (from [Director])
2. [Condition 2] (from [Director])## Plan Evaluation Report
**Track**: [track-id]
**Evaluator**: loop-plan-evaluator
**Date**: [YYYY-MM-DD]
**Execution Mode**: SEQUENTIAL | PARALLEL
### Results
| Pass | Status |
|------|--------|
| Scope Alignment | PASS ✅ / FAIL ❌ |
| Overlap Detection | PASS ✅ / FAIL ❌ |
| Dependencies | PASS ✅ / FAIL ❌ |
| Task Quality | PASS ✅ / FAIL ❌ |
| DAG Validation | PASS ✅ / FAIL ❌ |
| Board Review | PASS ✅ / FAIL ❌ / SKIPPED ⏭️ |
### Parallel Execution Summary
- **Total Tasks**: [count]
- **Parallel Groups**: [count]
- **Max Concurrency**: [max workers in a parallel group]
- **Conflict-Free Groups**: [count]
- **Coordinated Groups**: [count with shared resources]
### Board Decision (if applicable)
- **Verdict**: [APPROVED / APPROVED_WITH_REVIEW / REJECTED]
- **Vote**: [X APPROVE / Y REJECT]
- **Conditions**: [count] conditions attached
- **Session ID**: [board-{timestamp}]
### Verdict: PASS ✅ → Proceed to Parallel Execution
### Verdict: FAIL ❌ → Return to Planner with fixes:
1. [Fix 1]
2. [Fix 2]
### Board Conditions (carry forward):
1. [Condition from board that must be verified in EVALUATE_EXECUTION]The plan evaluator MUST update the track's metadata.json at key points:
{
"loop_state": {
"current_step": "EVALUATE_PLAN",
"step_status": "IN_PROGRESS",
"step_started_at": "[ISO timestamp]",
"checkpoints": {
"EVALUATE_PLAN": {
"status": "IN_PROGRESS",
"started_at": "[ISO timestamp]",
"agent": "loop-plan-evaluator"
}
}
}
}{
"loop_state": {
"current_step": "PARALLEL_EXECUTE",
"step_status": "NOT_STARTED",
"execution_mode": "PARALLEL",
"checkpoints": {
"EVALUATE_PLAN": {
"status": "PASSED",
"completed_at": "[ISO timestamp]",
"verdict": "PASS",
"checks": {
"scope_alignment": true,
"overlap_detection": true,
"dependencies": true,
"task_quality": true,
"dag_validation": true,
"board_review": true
},
"cto_review": {
"status": "PASSED",
"reviewed_at": "[timestamp if run]"
},
"dag_summary": {
"total_tasks": 8,
"parallel_groups": 3,
"max_concurrency": 4,
"conflict_free_groups": 2,
"coordinated_groups": 1
}
},
"PARALLEL_EXECUTE": {
"status": "NOT_STARTED"
}
},
"board_sessions": [
{
"session_id": "board-20260201-123456",
"checkpoint": "EVALUATE_PLAN",
"verdict": "APPROVED",
"vote_summary": {
"CA": "APPROVE",
"CPO": "APPROVE",
"CSO": "APPROVE",
"COO": "APPROVE",
"CXO": "APPROVE"
},
"conditions": [
"Add caching layer (CA)",
"Security audit before launch (CSO)"
],
"timestamp": "[ISO timestamp]"
}
]
}
}{
"loop_state": {
"current_step": "PLAN",
"step_status": "NOT_STARTED",
"checkpoints": {
"EVALUATE_PLAN": {
"status": "FAILED",
"completed_at": "[ISO timestamp]",
"verdict": "FAIL",
"checks": {
"scope_alignment": true,
"overlap_detection": false,
"dependencies": true,
"task_quality": false
},
"failure_reasons": [
"Overlap with existing track: component already built",
"Task 3 is too vague"
]
},
"PLAN": {
"status": "NOT_STARTED",
"plan_version": 2
}
}
}
}metadata.jsonloop_state.checkpoints.EVALUATE_PLAN with verdict and checkscurrent_step to EXECUTEcurrent_step to PLAN, increment plan_versionmetadata.json© Ibrahim-3d, AGPL-3.0. 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 skills/loop-plan-evaluator of Ibrahim-3d/orchestrator-supaconductor.
Open the folder on GitHubat commit 76c9b10
Loop Plan Evaluator 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 |
|---|---|---|---|---|---|---|
| Loop Plan Evaluator this skillIbrahim-3d/orchestrator-supaconductor | 380 | — | ~2.6k | Automated safety check: Pass | AGPL-3.0 | |
| Arize Evaluatorgithub/awesome-copilot | 40k | 2 repos | ~8.1k | Automated safety check: Notes | MIT | |
| LLM Evaluationdavila7/claude-code-templates | 32k | 13 repos | ~3.5k | Automated safety check: Pass | MIT | |
| Agent Evaluationsickn33/agentic-awesome-skills | 47k | 1 repos | ~2k | Automated safety check: Pass | MIT | |
| EvaluatorsArize-ai/phoenix | 12k | — | ~1.7k | Automated safety check: Pass | Custom licence | |
| 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…
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.
Arize-ai/phoenix
Author or refine a Phoenix evaluator — code or LLM-as-a-judge — that scores a run's output.
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.
Ibrahim-3d/orchestrator-supaconductor
Technical leadership guidance for engineering teams, architecture decisions, and technology strategy.
Ibrahim-3d/orchestrator-supaconductor
A skill your agent uses when working with Conductor's context-driven development methodology, managing project context artifacts, or understanding the relationship between product.md, tech-stack.md…
Ibrahim-3d/orchestrator-supaconductor
Creates specialized worker agents dynamically from templates.
Ibrahim-3d/orchestrator-supaconductor
Simulate a 5-member expert board deliberation for major decisions.
Ibrahim-3d/orchestrator-supaconductor
A skill your agent uses when completing a track that changes pricing, AI models, product features, or asset pipelines — syncs business context documents across all tiers.
Ibrahim-3d/orchestrator-supaconductor
Load project context efficiently for Conductor workflows. An agent skill from Ibrahim-3d/orchestrator-supaconductor.
Evaluate-Loop Step 2: EVALUATE PLAN. An agent skill from Ibrahim-3d/orchestrator-supaconductor. Loop Plan Evaluator is an agent skill from Ibrahim-3d/orchestrator-supaconductor. Evaluate-Loop Step 2: EVALUATE PLAN.
Run `npx skills add Ibrahim-3d/orchestrator-supaconductor --skill loop-plan-evaluator -a claude-code`. Or copy the skill folder (skills/loop-plan-evaluator in Ibrahim-3d/orchestrator-supaconductor) into .claude/skills/loop-plan-evaluator in your project. Claude Code loads it when a task matches its description.
Run `npx skills add Ibrahim-3d/orchestrator-supaconductor --skill loop-plan-evaluator -a codex`. Or copy the skill folder (skills/loop-plan-evaluator in Ibrahim-3d/orchestrator-supaconductor) into .agents/skills/loop-plan-evaluator 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 Ibrahim-3d/orchestrator-supaconductor --skill loop-plan-evaluator -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/loop-plan-evaluator, .gemini/skills/loop-plan-evaluator, .github/skills/loop-plan-evaluator and .opencode/skills/loop-plan-evaluator in your project.
SKILL.md names no scripts, command-line tools or credentials: Loop Plan Evaluator is instructions for the agent only. Our summary lists: Python 3.
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.
Loop Plan Evaluator is published under the AGPL-3.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 2.6k 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 Loop Plan Evaluator: Arize Evaluator (github/awesome-copilot, 40k stars), LLM Evaluation (davila7/claude-code-templates, 32k stars), Agent Evaluation (sickn33/agentic-awesome-skills, 47k stars) and Evaluators (Arize-ai/phoenix, 12k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Ibrahim-3d (a GitHub user) maintains it in Ibrahim-3d/orchestrator-supaconductor, which has 380 GitHub stars. The repository holds 27 skills in this directory. The repository was last updated on September 27, 2026.
Source: Ibrahim-3d/orchestrator-supaconductor on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.