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 object_exclusion_detectiongit 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/object_exclusion_detection)<a href="https://agentmods.dev/skills/sfc-gh-dflippo/snowflake-dbt-demo/object_exclusion_detection"><img src="https://agentmods.dev/badge/skills/sfc-gh-dflippo/snowflake-dbt-demo/object_exclusion_detection/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/object_exclusion_detection"><img src="https://agentmods.dev/badge/skills/sfc-gh-dflippo/snowflake-dbt-demo/object_exclusion_detection.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 | $0.00043 | $0.00592 |
| Opus 5 | $0.00022 | $0.00296 |
| Sonnet 5 | $0.00009 | $0.00118 |
| Haiku 4.5 | $0.00004 | $0.00059 |
Grade A, and why
object-exclusion-detection 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 — 73 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Object Exclusion Detection
Run scai assessment object-exclusion in the SCAI project.
Sub-Agent Mode
When invoked from a parent skill (e.g., assessment/SKILL.md) as a sub-agent, the parent provides a context block with the fields below. This sub-skill takes no user prompts in either mode, so the only behavioral change in sub-agent mode is the JSON return contract.
| Field | Required | Notes |
|---|---|---|
project_dir |
yes | absolute path to the SCAI project root |
On entry: call the configure MCP tool with project_dir from the context block.
Run scai assessment object-exclusion from project_dir.
On completion, return JSON only:
{
"sub_skill": "object-exclusion-detection",
"status": "ok",
"output_json": "<abs path to object_exclusion_analysis_*.json>",
"summary": "<one-line: temp/staging, deprecated, testing, duplicates counts>",
"error": null
}
On failure: "status": "error", "output_json": null, "error": "<message>".
Output
scai assessment object-exclusion writes one file:
<project_dir>/artifacts/assessment/object_exclusion_analysis_YYYYMMDD_HHMMSS.json
Hand that path back to the parent skill as --exclusion-json. Don't parse or rewrite it.
For the summary line, read summary from the JSON:
{
"summary": {
"total_objects_found": 0,
"temp_staging_objects_count": 0,
"deprecated_legacy_objects_count": 0,
"testing_objects_count": 0,
"duplicate_objects_count": 0,
"objects_with_multiple_versions": 0
}
}
Per-category detail may live in the registry instead of the JSON (detail_location: "registry" vs "json") — irrelevant to this skill, the parent report generator handles both.
What It Detects
Temp/staging, deprecated/legacy, testing objects, duplicates, version conflicts, and potentially misclassified objects — pattern matching is entirely internal to SCAI, nothing to configure here.
Related
- Parent:
../SKILL.md(consumes the artifact via--exclusion-json) - SCAI built-in help:
scai assessment object-exclusion --help
What ships with it
1 file 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.
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 · 73 lines · 43 tokens per session scan A fe121cecc14a
object-exclusion-detection 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 43 tokens to every session and 592 once invoked, about $0.0002 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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