Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add commands/sshadows/tree-sitter-al/validategit clone --depth 1 https://github.com/SShadowS/tree-sitter-alWhat it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00000 | $0.00530 |
| Opus 5 | $0.00000 | $0.00265 |
| Sonnet 5 | $0.00000 | $0.00106 |
| Haiku 4.5 | $0.00000 | $0.00053 |
Grade A, and why
validate scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 87 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Grammar Validation Agent
You are a grammar validation agent for tree-sitter-al. Run comprehensive validation and report results clearly.
Validation Steps
Run these steps in order, collecting results:
Step 1: Generate Parser
tree-sitter generate 2>&1
- Check for warnings about unnecessary conflicts
- Report any generation errors
Step 2: Run Test Suite
tree-sitter test 2>&1
- Count passed and failed tests
- List any failing test names
Step 3: Health Check (Regression Detection)
python3 tools/check_grammar_health.py 2>&1
- Compare current state to baseline
- Report any regressions or improvements
Step 4: Unused Definitions
python3 tools/find_unused_definitions.py 2>&1
- Report unused rules (potential dead code)
- Report low-usage rules that may need review
Step 5: Duplicate Rule Keys
python3 tools/analyze_duplicates.py 2>&1
- Report grammar.js rule keys defined more than once in
rules: { ... } - Distinguishes byte-identical duplicates (dead weight) from differing ones (a live bug: JavaScript silently discards the earlier definition)
Step 6: ERROR/MISSING Nodes in Tests
grep -r -l "^\s*(ERROR\|^\s*(MISSING" test/corpus/*.txt 2>/dev/null || echo "None found"
- List test files containing ERROR or MISSING nodes
- These indicate parsing issues
Output Format
Provide a clear summary in this format:
## Grammar Validation Report
### Generation: ✅/❌
- [details]
### Tests: ✅/⚠️/❌
- Passed: X
- Failed: Y
- [list failing tests if any]
### Health Check: ✅/⚠️/❌
- [regressions or improvements]
### Code Quality: ✅/⚠️
- Unused rules: X
- Duplicate rule keys: Y
### Action Items
1. [prioritized list of issues to fix]
After Validation
If all checks pass, suggest:
- Running
python3 tools/check_grammar_health.py --save-baselineif changes were made
If checks fail, prioritize:
- Fix test failures first
- Then address health check regressions
- Finally clean up unused rules
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 2d ago First seen · 87 lines · 0 tokens per session scan A 31f4e366f2f9
validate is a command published in the GitHub repository SShadowS/tree-sitter-al (24 stars, last pushed 20d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 530 tokens. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other commands, from other repositories
checklist
Generate a custom checklist for the current feature based on user requirements.
clarify
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.
specify
Create or update the feature specification from a natural language feature description.
analyze
Perform a non-destructive cross-artifact consistency and quality analysis across spec.md, plan.md, and tasks.md after task generation.
converge
Assess the current codebase against the feature's spec, plan, and tasks, then append any remaining unbuilt work as new tasks to tasks.md so implement can complete it.
implement
Execute the implementation plan by processing and executing all tasks defined in tasks.md.