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 ibm-self-serve-assets/building-blocks --skill data-ingestion-structuredgit clone --depth 1 https://github.com/ibm-self-serve-assets/building-blocksWrote 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/ibm-self-serve-assets/building-blocks/data-ingestion-structured)<a href="https://agentmods.dev/skills/ibm-self-serve-assets/building-blocks/data-ingestion-structured"><img src="https://agentmods.dev/badge/skills/ibm-self-serve-assets/building-blocks/data-ingestion-structured/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/ibm-self-serve-assets/building-blocks/data-ingestion-structured"><img src="https://agentmods.dev/badge/skills/ibm-self-serve-assets/building-blocks/data-ingestion-structured.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 | $0.00077 | $0.01326 |
| Opus 5 | $0.00039 | $0.00663 |
| Sonnet 5 | $0.00015 | $0.00265 |
| Haiku 4.5 | $0.00008 | $0.00133 |
Grade B, and why
data-ingestion-structured scanned grade B with 2 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 10d 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.
Sends data to an external URLmediumData exfiltration
A POST to an outside endpoint may be telemetry or may be exfiltration; either way the mod talks to somewhere, and you should know where.
resp = requests.post("https://iam.cloud.ibm.com/identity/token", Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
resp = requests.post("https://iam.cloud.ibm.com/identity/token", How it starts
The opening of the file, as written. The whole thing — 135 lines — stays where its author put it; the contents beside it link to each section on GitHub.
IBM watsonx.data Structured Data Ingestion Builder
Purpose
Expert guidance for building structured data ingestion pipelines that move data from RDBMS sources into IBM watsonx.data (Iceberg tables) using IBM DataStage, StreamSets, and IBM Data Replication. Generates production-ready code following IBM building-blocks conventions.
IBM Cloud Product Coverage
| IBM Cloud Product | Usage |
|---|---|
| IBM watsonx.data | Target: Iceberg tables via Presto; source metadata via REST API |
| IBM DataStage | Pipeline design: batch/streaming/replication jobs |
| IBM Data Replication (CDC) | Log-based Change Data Capture from Db2, PostgreSQL, Oracle |
| IBM Cloud IAM | POST /identity/token (apikey grant) |
| IBM Cloud Object Storage | Staging area for batch file loads |
Rules
- Always generate IAM auth with
IAMTokenManager(5-minute buffer) - IBM watsonx.data API base:
https://{region}.lakehouse.cloud.ibm.com/lakehouse/api/v2 - For DataStage jobs: use IBM DataStage on Cloud REST API (
/v3/data_intg_flows) - CDC uses IBM Data Replication — source connector must match DB type (db2, postgresql, oracle, mysql)
- Staging to COS uses HMAC credentials for bulk loads
- Schema evolution: detect added/dropped columns via schema comparison before load
Scope
- IBM Db2 (on-prem and IBM Cloud) batch, incremental, and CDC ingestion
- PostgreSQL, MySQL, Oracle, MS SQL Server connectors
- IBM DataStage batch job generation (Sequence jobs, Parallel jobs)
- IBM StreamSets pipeline configuration for real-time ingestion
- IBM Data Replication CDC log-mining setup
- Schema mapping to Iceberg data types
- Error handling, retry logic, and dead-letter patterns
Procedure
Phase 1: IAM Authentication
class IAMTokenManager:
def get_token(self) -> str:
if not self._token or time.time() >= self._expiry:
self._refresh()
return self._token
def _refresh(self) -> None:
resp = requests.post("https://iam.cloud.ibm.com/identity/token",
headers={"Content-Type": "application/x-www-form-urlencoded"},
data={"grant_type": "urn:ibm:params:oauth:grant-type:apikey", "apikey": self._api_key},
timeout=30)
resp.raise_for_status()
body = resp.json()
self._token, self._expiry = body["access_token"], time.time() + int(body.get("expires_in", 3600)) - 300
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.
- 10d ago First seen · 135 lines · 77 tokens per session scan B afb5afdcb724
data-ingestion-structured is a skill published in the GitHub repository ibm-self-serve-assets/building-blocks (24 stars, last pushed yesterday), licensed Apache-2.0. It adds 77 tokens to every session and 1,326 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it B with 2 findings (sends data to an external url, 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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