concept-integrity
Validate and repair concept semantic integrity — detect duplicates, enforce boundaries via 2-agent Proposer/Judge, and cascade repair across project TSVs and…
Skill by orchable
Chalk Labs
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Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/orchable-concept-integrity
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About
Use cases: agent-building
Reviews
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Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
- Runs as
- Python package
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/concept-integrity
What's inside
- Skill name
concept-integrity- Description
- Validate and repair concept semantic integrity — detect duplicates, enforce boundaries via 2-agent Proposer/Judge, and cascade repair across project TSVs and Supabase.
- License
- MIT
- Instructions
- 81 lines in SKILL.md · view on GitHub
Before installing
- Ships executable scripts
Files (15)
- SKILL.md
- apply_master_repair.py · scripts/
- apply_t6_fixes.py · scripts/
- audit_granularity.py · scripts/
- concept_dedup_detector.py · scripts/
- concept_proposer_judge.py · scripts/
- concept_repair.py · scripts/
- flatten_master_tree.py · scripts/
- generate_master_repair_manifest.py · scripts/
- llm_full_tree_hierarchy_validator.py · scripts/
- llm_semantic_validator.py · scripts/
- llm_t6_judge.py · scripts/
- run_granularity.py · scripts/
- translate_master_tree.py · scripts/
- verify_with_cs2023.py · scripts/
SKILL.md (first lines)
# Concept Integrity
> **Goal:** You are the `@concept-integrity-validator`. Your job is to ensure every Concept node in the Knowledge Graph is unique, well-bounded, and correctly referenced across all downstream artifacts (LOs, prerequisites, Supabase).
## Why This Skill Exists
Existing validation (`validate_tree.py`, `detect_gaps.py`) checks **structural** integrity (referential links, code format, orphans). This skill fills the **semantic** integrity gap:
1. Two concepts with different codes but overlapping meaning (e.g. `KEY_VALUE_STORAGE` vs `DICTIONARY`)
2. A concept that should be a "resource" (product/vendor) rather than a learning unit
3. A concept that is too broad (should be split) or too narrow (should be merged)
4. Local TSV ↔ Supabase DB drift after repairs
## Architecture: Retrieve → Propose → Judge → Repair
```
┌──────────────┐
candidate phrase ──────────▶ │ 1. Retrieval │ (embedding neighbors from Master Tree)
└──────┬───────┘
▼
┌──────────────┐
neighbors + source_excerpt ▶ │ 2. Proposer │ (LLM: reuse/create/split/merge/resource)
└──────┬───────┘
▼
┌──────────────┐
proposer output ────────────▶│ 3. Judge │ (LLM: independent rule-by-rule audit)
└──────┬───────┘
▼
approve / request_revision (max 3) / reject
▼
┌──────────────┐
repair manifest ────────────▶│ 4. Repair │ (cascade rename/merge across TSVs)
└──────────────┘
```
## Scripts
| Script | Purpose |
|--------|---------|
| `concept_dedup_detector.py` | Detect semantic duplicates + boundary conflicts across Master Tree and project concepts |
| `concept_proposer_judge.py` | 2-agent (Proposer + Judge) architecture for concept splitting decisions |
| `concept_repair.py` | Cascade repair (rename/merge/delete) across project TSVs + Supabase drift detection |
## Workflow
```bash
# Detect-only (default)
/validate-concepts --project <slug>
# Detect + repair (with approval gate)
/validate-concepts --project <slug> --fix
# Include Supabase drift check
/validate-concepts --project <slug> --check-supabase
```
## When to Run
- **After `/build-tree`** — validate concept selection before generating LOs
- **After `/escalate-concepts`** — validate new concept proposals against existing graph
- **Before `/sync-supabase`** — ensure no semantic duplicates will be pushed
- **Periodic maintenance** — detect drift accumulated over multiple project runs
## Integration Points
| Existing Tool | Integration |
|---|---|
| `detect_gaps.py` | Gap F (SEMANTIC_DUPLICATE) added, calls `concept_dedup_detector` as module |
| `agent_as_judge.py` | Concept Judge reuses same LLM call infrastructure |
| `semantic_search_master.py` | Retrieval step reuses embedding search logic |
| `validate_tree.py` | Structural integrity must PASS before running concept integrity |
## Rules
- **Never auto-merge** concepts without approval (Gate §4, §10)
- **Dry-run first**: All repair operations default to `--dry-run`
- **Backup before write**: Every TSV modification creates `.bak` file
- **Max 3 revision rounds** in Proposer↔Judge loop; after that → manual queue
- **Supabase writes require explicit approval** (Gate §8)From orchable/knowledge-graph-public, MIT.
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Build the 6 final TSV project files by applying the approved mapping plan against the Master Knowledge Graph.
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project-context-loader
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Inventory, read, interpret, and summarize every resource in the active project's context directory to establish the exact domains and syllabus.
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cs2023-standard
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IEEE/ACM Computer Science Curricula 2023.
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Signals
- Stars
- 1
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Aug 15, 2026 (2 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
More from orchable
- 0.549score
learning-objective-generator
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Extract and generate structured Learning Objectives (ULO, CIO, SIO) from raw syllabus and context text using LLM scripts.
SkillBFreshness: B★ 1Claude Code +9 - 0.549score
tree-validator
orchable
Validates the referential integrity of the knowledge tree and performs a Reverse Coverage Audit against the source context documents.
SkillBFreshness: B★ 1Claude Code +9 - 0.546score
taxonomy-mapper
orchable
Cross-reference extracted project syllabus with the Master Knowledge Graph to establish a formal taxonomy mapping plan.
SkillBFreshness: B★ 1Claude Code +9 - 0.546score
tree-assembler
orchable
Build the 6 final TSV project files by applying the approved mapping plan against the Master Knowledge Graph.
SkillBFreshness: B★ 1Claude Code +9 - 0.544score
project-context-loader
orchable
Inventory, read, interpret, and summarize every resource in the active project's context directory to establish the exact domains and syllabus.
SkillBFreshness: B★ 1Claude Code +9 - 0.539score
cs2023-standard
orchable
IEEE/ACM Computer Science Curricula 2023.
SkillBFreshness: B★ 1Claude Code +9
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Cite this page
concept-integrity skill. Agent Mart. https://agentmart.dev/skills/orchable-concept-integrity (last updated 2026-10-24)