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 sfc-gh-dflippo/snowflake-dbt-demo --skill anti-patternsgit clone --depth 1 https://github.com/sfc-gh-dflippo/snowflake-dbt-demoWrote 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/sfc-gh-dflippo/snowflake-dbt-demo/anti-patterns)<a href="https://agentmods.dev/skills/sfc-gh-dflippo/snowflake-dbt-demo/anti-patterns"><img src="https://agentmods.dev/badge/skills/sfc-gh-dflippo/snowflake-dbt-demo/anti-patterns/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/sfc-gh-dflippo/snowflake-dbt-demo/anti-patterns"><img src="https://agentmods.dev/badge/skills/sfc-gh-dflippo/snowflake-dbt-demo/anti-patterns.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00051 | $0.00383 |
| Opus 5 | $0.00026 | $0.00192 |
| Sonnet 5 | $0.00010 | $0.00077 |
| Haiku 4.5 | $0.00005 | $0.00038 |
Grade A, and why
anti-patterns 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.
What it actually says
Anti-Patterns
Thin wrapper over scai assessment anti-patterns. SCAI reads the project's Code Unit Registry, matches the already-recorded issue codes against a curated per-dialect catalog, and writes one timestamped JSON the parent assessment multi-report consumes.
- Supported dialects: SQL Server, Redshift. Any other dialect aborts with
ASM0024— reportskipped, not an error.
Run
scai assessment anti-patterns
Writes <project_dir>/artifacts/assessment/anti-patterns-YYYYMMDD_HHMMSS.json. Return that path to the parent; the multi-report auto-discovers it from --project-dir. Never parse or rewrite the file.
Sub-agent contract
On entry, call configure with project_dir from the parent's context block. Take no user prompts. On completion return JSON only:
{
"sub_skill": "anti-patterns",
"status": "ok",
"output_json": "<abs path to anti-patterns-*.json>",
"summary": "<one-line: buckets, distinct flags, code units affected>",
"error": null
}
- Unsupported dialect (
ASM0024):status"skipped",output_jsonnull,errornull. - Any other failure:
status"error",output_jsonnull,error"<message>".
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 · 38 lines · 51 tokens per session scan A 9c1b4c3a5d73
anti-patterns is a skill published in the GitHub repository sfc-gh-dflippo/snowflake-dbt-demo (33 stars, last pushed 3d ago), licensed Apache-2.0. It adds 51 tokens to every session and 383 once invoked, about $0.0003 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 2026-09-10.
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