bac2b27bb8
BREAKING CHANGES: - Remove -cskill suffix from all skill names (use standard kebab-case) - Simplify marketplace.json to only official fields (fixes Issue #5) - SKILL.md body must be <500 lines (progressive disclosure via references/) New features: - Cross-platform support for 8+ platforms (Claude Code, Copilot, Cursor, Windsurf, Cline, Codex CLI, Gemini CLI) - scripts/install-template.sh: Auto-detect platform installer with --dry-run - scripts/validate.py: Spec compliance checker for generated skills - scripts/security_scan.py: Security scanner for hardcoded keys and dangerous patterns - MIGRATION.md: v3.x to v4.0 migration guide - 6 new reference files for progressive disclosure from lean SKILL.md Key changes: - SKILL.md: 4,116 → 272 lines with spec-compliant YAML frontmatter - marketplace.json: Stripped to {name, plugins} only - article-to-prototype-cskill/ → article-to-prototype/ - stock-analyzer-cskill/ → stock-analyzer/ - Export system integrates validation + security scanning - README.md rewritten for all supported platforms - Phase 5 pipeline outputs SKILL.md-first, spec-compliant skills Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
28 lines
1.2 KiB
Markdown
28 lines
1.2 KiB
Markdown
# SC-050: Meta-Skill SKILL.md Context Consumption Under 5000 Tokens
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> Covers: NFR-002 — Meta-skill SKILL.md context consumption <5,000 tokens for body
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> Type: Performance
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## Given
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- The meta-skill's own SKILL.md has been restructured for v4.0
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- The file is at `/Users/francylisboacharuto/agent-skill-creator/SKILL.md`
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## When
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- The token count of the SKILL.md body (excluding frontmatter) is estimated
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## Then
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- The body content consumes fewer than 5,000 tokens
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- Using the heuristic of ~4 chars per token, the body is <20,000 characters
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- Detailed content is in `references/` and loaded on demand
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## Verification Method
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**Method**: CLI command
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**Steps**:
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1. Extract the body (everything after the second `---`): `sed -n '/^---$/,/^---$/!p' SKILL.md | tail -n +1`
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2. Count characters: `wc -c` on the body
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3. Assert character count <20,000 (conservative ~4 chars/token estimate for 5,000 token limit)
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4. Alternatively, use `tiktoken` if available: `python3 -c "import tiktoken; enc=tiktoken.get_encoding('cl100k_base'); print(len(enc.encode(open('SKILL.md').read())))"`
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**Expected evidence**: Body character count is <20,000 characters. Estimated token count is <5,000 tokens.
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