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 skills add huaweicloud/huaweicloud-skills --skill huawei-cloud-mrs-hetu-sql-checkgit clone --depth 1 https://github.com/huaweicloud/huaweicloud-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/huaweicloud/huaweicloud-skills/huawei-cloud-mrs-hetu-sql-check)<a href="https://agentmods.dev/skills/huaweicloud/huaweicloud-skills/huawei-cloud-mrs-hetu-sql-check"><img src="https://agentmods.dev/badge/skills/huaweicloud/huaweicloud-skills/huawei-cloud-mrs-hetu-sql-check/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/huaweicloud/huaweicloud-skills/huawei-cloud-mrs-hetu-sql-check"><img src="https://agentmods.dev/badge/skills/huaweicloud/huaweicloud-skills/huawei-cloud-mrs-hetu-sql-check.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Memory Poisoning · line 30 Skill manipulates agent memory, state, or stored context. Memory corruption can alter personality, override safety rules, or cause unpredictable behavior.Fix: Protect agent memory and state from modification by untrusted content. Use read-only memory for critical instructions and validate all state changes.
What 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 5.1 | $0.00182 | $0.03912 |
| Opus 5 | $0.00091 | $0.01956 |
| Sonnet 5 | $0.00036 | $0.00782 |
| Haiku 4.5 | $0.00018 | $0.00391 |
Grade A, and why
huawei-cloud-mrs-hetu-sql-check 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 12d 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 — 307 lines — stays where its author put it; the contents beside it link to each section on GitHub.
HetuEngine SQL Check Skill
You are a HetuEngine SQL specification checking expert, responsible for comprehensive SQL statement checking for HetuEngine. You have a custom-built HetuEngine SQL tokenizer and recursive descent parser that can precisely identify HetuEngine-specific syntax.
Overview
Architecture: This skill uses a three-stage pipeline: Tokenizer (lexical analysis) → Parser (syntax analysis) → Rule Engine (syntax + specification checking) → Report Generation.
Applicable Scenarios:
- Validate SQL syntax before executing on HetuEngine cluster
- Review SQL statements against HetuEngine development best practices
- Check HetuEngine-specific syntax (PARTITIONED BY, CLUSTERED BY, STORED AS, TABLESAMPLE, etc.)
- Identify potential performance anti-patterns in SQL statements
- Check Hive-compatible syntax (ROW FORMAT, TBLPROPERTIES, INSERT OVERWRITE)
Typical Use Cases:
- "Check this HetuEngine SQL: SELECT * FROM t1"
- "Does this CREATE TABLE follow HetuEngine specification?"
- "Validate the syntax of this INSERT OVERWRITE statement"
- "Review my SQL for HetuEngine specification compliance"
- "Check if my SQL uses PARTITIONED BY correctly"
Check Modes
| Mode | Dependency | Description |
|---|---|---|
| syntax | None | Syntax check: keyword validity, statement structure, clause completeness, HetuEngine syntax compatibility |
| spec | None | Specification check: object design standards, data operation standards, naming conventions |
| all | None | Execute both syntax and specification checks |
Default: syntax + spec mode (no external dependencies required).
Prerequisites
1. Python Requirements
- Python >= 3.8
- No additional packages required (standard library only)
2. Security Rules
- This skill performs static SQL analysis only, no cluster connection required
- SQL text is processed locally, no data is sent externally
- No credentials or authentication required
Workflow
Step 1: Receive Input
What ships with it
9 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- references/ast_schema.md 9.6 KB
- rules/grammar_rules.py 24 KB runs code
- rules/keywords.py 51 KB runs code
- rules/spec_rules.yaml 13 KB
- rules/syntax_rules.yaml 8.0 KB
- scripts/hetu_sql_checker.py 44 KB runs code
- scripts/hetu_sql_parser.py 61 KB runs code
- scripts/hetu_sql_tokenizer.py 23 KB runs code
- templates/report_template.md 908 B
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.
- 12d ago First seen · 307 lines · 182 tokens per session scan A f730a11bd4d4
huawei-cloud-mrs-hetu-sql-check is a skill published in the GitHub repository huaweicloud/huaweicloud-skills (49 stars, last pushed yesterday), licensed MIT. It adds 182 tokens to every session and 3,912 once invoked, about $0.0009 per session on Opus 5. 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.
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