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/rand/cc-polymath/discover-datanpx skills add rand/cc-polymath --skill discover-datagit clone --depth 1 https://github.com/rand/cc-polymathWhat 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 | $0.00040 | $0.00797 |
| Opus 5 | $0.00020 | $0.00398 |
| Sonnet 5 | $0.00008 | $0.00159 |
| Haiku 4.5 | $0.00004 | $0.00080 |
Grade A, and why
discover-data 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 — 119 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Data Skills Discovery
Provides automatic access to comprehensive data skills.
When This Skill Activates
This skill auto-activates when you're working with:
- ETL
- data pipelines
- batch processing
- stream processing
- data validation
- orchestration
- Airflow
- timely dataflow
- differential dataflow
- streaming aggregations
- windowing
- real-time analytics
Available Skills
Quick Reference
The Data category contains 9 skills:
- batch-processing - Orchestrating complex data pipelines with dependencies
- data-validation - Validating data schema before processing
- dataflow-coordination - Coordination patterns for distributed dataflow systems
- differential-dataflow - Differential computation for incremental updates and efficient joins
- etl-patterns - Designing data extraction from multiple sources
- pipeline-orchestration - Coordinating complex multi-step data workflows
- stream-processing - Processing real-time event streams (Kafka, Flink)
- streaming-aggregations - Windowing, sessionization, time-series aggregation
- timely-dataflow - Low-latency streaming computation with progress tracking
Load Full Category Details
For complete descriptions and workflows:
Read ../data/INDEX.md
This loads the full Data category index with:
- Detailed skill descriptions
- Usage triggers for each skill
- Common workflow combinations
- Cross-references to related skills
Load Specific Skills
Load individual skills as needed:
Traditional ETL/Batch
Read ../data/batch-processing.md Read ../data/data-validation.md Read ../data/etl-patterns.md Read ../data/pipeline-orchestration.md
Stream Processing
Read ../data/stream-processing.md Read ../data/streaming-aggregations.md
Advanced Dataflow Systems
Read ../data/timely-dataflow.md Read ../data/differential-dataflow.md Read ../data/dataflow-coordination.md
Common Workflow Combinations
Real-Time Analytics Pipeline
Load these skills together:
Read ../data/stream-processing.md # Kafka setup Read ../data/streaming-aggregations.md # Windowing patterns Read ../data/dataflow-coordination.md # Coordination
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 · 119 lines · 40 tokens per session scan A eaca244248ed
discover-data is a skill published in the GitHub repository rand/cc-polymath (136 stars, last pushed 6mo ago), licensed MIT. It adds 40 tokens to every session and 797 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 2026-08-30.
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