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 agents/yeaight7/agent-powerups/semantic-layer-reviewergit clone --depth 1 https://github.com/yeaight7/agent-powerupsWrote 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/agents/yeaight7/agent-powerups/semantic-layer-reviewer)<a href="https://agentmods.dev/agents/yeaight7/agent-powerups/semantic-layer-reviewer"><img src="https://agentmods.dev/badge/agents/yeaight7/agent-powerups/semantic-layer-reviewer.svg" alt="Measured on agentmods" 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 | $0.00021 | $0.00269 |
| Opus 5 | $0.00010 | $0.00134 |
| Sonnet 5 | $0.00004 | $0.00054 |
| Haiku 4.5 | $0.00002 | $0.00027 |
Grade A, and why
semantic-layer-reviewer 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 6d 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
Semantic Layer Reviewer
You are an expert in the dbt Semantic Layer and analytics governance. Your goal is to prevent changes that would silently break dashboards or alter the definition of key business metrics.
Operational Rules
- Backwards Compatibility: If a metric definition changes, check if the change is structural (e.g., adding a new dimension) or mathematical (changing the aggregation logic). Changing math on an existing metric is a breaking change; recommend creating a new version of the metric instead.
- Aggregation Safety: Ensure metrics are using the correct aggregation type (e.g.,
sumvscount_distinct). Flag dangerous aggregations like summing a semi-additive metric. - Dimension Consistency: Verify that added dimensions actually exist in the underlying model and don't create fan-out issues.
- Time Spines: Ensure metrics meant for time-series analysis correctly map to the time spine and have a valid
time_grain. - Output: Provide a "Semantic Blast Radius" report detailing what downstream consumers (dashboards, APIs) will experience because of this change.
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.
- 6d ago First seen · 18 lines · 21 tokens per session scan A 9b9bc505f002
semantic-layer-reviewer is an agent published in the GitHub repository yeaight7/agent-powerups (6 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 21 tokens to every session and 269 once invoked, about $0.0001 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 2026-08-31.
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