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 kouko/redshift-comment-mcp --skill redshift-grep-tablesgit clone --depth 1 https://github.com/kouko/redshift-comment-mcpWrote 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/kouko/redshift-comment-mcp/redshift-grep-tables)<a href="https://agentmods.dev/skills/kouko/redshift-comment-mcp/redshift-grep-tables"><img src="https://agentmods.dev/badge/skills/kouko/redshift-comment-mcp/redshift-grep-tables/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/kouko/redshift-comment-mcp/redshift-grep-tables"><img src="https://agentmods.dev/badge/skills/kouko/redshift-comment-mcp/redshift-grep-tables.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 | $0.00148 | $0.01021 |
| Opus 5 | $0.00074 | $0.00511 |
| Sonnet 5 | $0.00030 | $0.00204 |
| Haiku 4.5 | $0.00015 | $0.00102 |
Grade A, and why
redshift-grep-tables 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 8d 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 — 113 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Redshift Cross-Schema Table Grep
Find every table whose name or comment matches a keyword across all schemas in the cluster via one cluster-wide MCP call.
When to use / NOT
- Use to find a table by topic when schema is unknown ("where is the orders fact?").
- Use to audit table-naming consistency across schemas.
- NOT when schema is already known — use MCP
search_tables(kw, schema)directly. - NOT for column-level search — use
/redshift-grep-columns. - NOT for general schema browsing — use
/redshift-explore.
Inputs
| Form | Behavior |
|---|---|
<keyword> |
grep across all schemas |
<keyword> --schema <s1>,<s2> |
scope to listed schemas |
<kw1> <kw2> |
space-separated keywords (OR logic on MCP side) |
--max-list N |
results per page (default 50) |
Flow
Step 1 — cluster-wide search via MCP
The MCP server's search_tables accepts an optional schema_name;
omit it for cluster-wide table search in one call:
search_tables(keywords, schema_name=None)
This returns one row per matching table with schema_name included,
ordered by (schema_name, table_name). Paginate via has_more if
total > 50.
Procedure:
- If
--schema <s1>,<s2>given: onesearch_tablesper listed schema (cheap — typically a handful). - Else: one
search_tables(keywords, schema_name=None)covers the whole cluster.
Latency: ~0.2s for cluster-wide searches (clusters with < 10K tables).
Step 2 — render
Group by schema, count per schema in header line, comment-first body. One blank line between groups:
Tables matching "fct" (8 hits in 4 schemas):
dbt_marts (3)
fct_orders BASE TABLE Central order facts.
fct_returns BASE TABLE Return events.
fct_payments BASE TABLE Payment events.
dbt_staging (2)
stg_fct_orders BASE TABLE Staging for fct_orders.
stg_fct_returns BASE TABLE Staging for fct_returns.
raw_events (2)
fct_event_log BASE TABLE Raw event ingest.
fct_session_log BASE TABLE Session tracking.
reporting (1)
v_fct_orders_daily VIEW Daily aggregation of fct_orders.
What ships with it
3 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.
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.
- 8d ago First seen · 113 lines · 148 tokens per session scan A bccb5908c7cd
redshift-grep-tables is a skill published in the GitHub repository kouko/redshift-comment-mcp (1 stars, last pushed 2mo ago), licensed MIT. It adds 148 tokens to every session and 1,021 once invoked, about $0.0007 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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