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 skills/anthropics/claude-tag-plugins/redshift-apinpx skills add anthropics/claude-tag-plugins --skill redshift-apigit clone --depth 1 https://github.com/anthropics/claude-tag-pluginsWrote 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/anthropics/claude-tag-plugins/redshift-api)<a href="https://agentmods.dev/skills/anthropics/claude-tag-plugins/redshift-api"><img src="https://agentmods.dev/badge/skills/anthropics/claude-tag-plugins/redshift-api.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 | $0.00116 | $0.03241 |
| Opus 5 | $0.00058 | $0.01621 |
| Sonnet 5 | $0.00023 | $0.00648 |
| Haiku 4.5 | $0.00012 | $0.00324 |
Grade A, and why
redshift-api scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 4d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -sS "https://redshift-data.${AWS_DEFAULT_REGION}.amazonaws.com/" \ How it starts
The opening of the file, as written. The whole thing — 225 lines — stays where its author put it; the contents beside it link to each section on GitHub.
In the Amazon Redshift Data API, every call is a POST to https://redshift-data.<region>.amazonaws.com/ with
Content-Type: application/x-amz-json-1.1 and X-Amz-Target: RedshiftData.<Action> — there are no
REST-style paths. The API is fully asynchronous: submit a statement, get back an Id, poll
DescribeStatement until done, then page results with GetStatementResult —
scripts/rs_query.sh (operation 1) drives that loop for you. The same calls work against
provisioned clusters and Serverless; only the connection-target field differs.
Request setup
Authentication is handled by the runtime — requests to this API are signed with credentials
configured for the workspace, so there is nothing to set up. Do not try to obtain AWS keys or sign
requests yourself. A persistent AccessDeniedException means the credential isn't configured for
this workspace — report that instead of debugging auth.
Two pieces of configuration are real and required:
1. Region — it's part of the endpoint hostname:
export AWS_DEFAULT_REGION="us-east-1" # the region your cluster / workgroup is in
2. Connection target — which cluster/workgroup and database the Data API connects to. Pick one
and put the matching JSON fields in RS_TARGET; the recipes below merge it into each request body:
- Serverless — pass
WorkgroupName. The configured identity is mapped to a database user. Simplest. - Provisioned, temporary credentials — pass
ClusterIdentifierandDbUser. The Data API resolves database credentials under the hood. - Provisioned or Serverless, Secrets Manager — pass
SecretArnpointing to a secret that holds the database login.
Set whichever applies once:
export RS_DATABASE="dev"
# Serverless:
export RS_TARGET='{"WorkgroupName": "my-workgroup"}'
# — or provisioned + temp creds:
# export RS_TARGET='{"ClusterIdentifier": "my-cluster", "DbUser": "my_user"}'
# — or either + Secrets Manager:
# export RS_TARGET='{"ClusterIdentifier": "my-cluster", "SecretArn": "arn:aws:secretsmanager:us-east-1:123456789012:secret:rs-creds-AbCdEf"}'
The helper used below. One function wraps the endpoint, the headers, and the action name. The
Authorization header is a placeholder — the runtime replaces it with a real signature.
rsapi() {
local action="$1"
curl -sS "https://redshift-data.${AWS_DEFAULT_REGION}.amazonaws.com/" \
-H "Content-Type: application/x-amz-json-1.1" \
-H "X-Amz-Target: RedshiftData.${action}" \
-H "Authorization: placeholder" \
-d "${2:?rsapi needs a JSON body as the second argument}"
}
Sanity check — list databases. A 200 with a Databases array confirms the workspace is wired
up and the connection target is right. An error names which layer failed.
rsapi ListDatabases "$(jq -n --argjson t "$RS_TARGET" --arg db "$RS_DATABASE" \
'$t + {Database: $db}')" | jq .
What ships with it
2 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.
- 4d ago First seen · 225 lines · 116 tokens per session scan A ef5bc2f04455
redshift-api is a skill published in the GitHub repository anthropics/claude-tag-plugins (46 stars, last pushed 22d ago), licensed Apache-2.0. It adds 116 tokens to every session and 3,241 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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