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 daehounan/agency-agents-fork --skill data-ops-routinggit clone --depth 1 https://github.com/daehounan/agency-agents-forkWrote 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/daehounan/agency-agents-fork/data-ops-routing)<a href="https://agentmods.dev/skills/daehounan/agency-agents-fork/data-ops-routing"><img src="https://agentmods.dev/badge/skills/daehounan/agency-agents-fork/data-ops-routing.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 | $0.00108 | $0.00421 |
| Opus 5 | $0.00054 | $0.00211 |
| Sonnet 5 | $0.00022 | $0.00084 |
| Haiku 4.5 | $0.00011 | $0.00042 |
Grade A, and why
data-ops-routing 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.
What it actually says
Data Ops Routing Skill
When this skill activates, route through the data ops pipeline.
Routing matrix
| User signal / pipeline stage | Agent to invoke |
|---|---|
| Excel file monitoring, MTD/YTD/Year End metric extraction | sales-data-extraction-agent |
| Consolidating extracted data into territory / rep / pipeline dashboards | data-consolidation-agent |
| Territory-based report distribution to reps, scheduled sends | report-distribution-agent |
Typical pipeline
[Excel files] → sales-data-extraction-agent
→ data-consolidation-agent (territory rollups, rep summaries)
→ report-distribution-agent (territory-based dispatch)
Invoke all three in sequence for the full pipeline. Each can also run independently.
Complementary
- Build a dashboard UI for the consolidated data →
data:build-dashboardskill - SQL query work upstream of extraction →
data:sql-queries/data:write-query - Statistical analysis on consolidated data →
data:statistical-analysis - Custom data visualization →
data:create-viz/data:data-visualization
When NOT to use
- General data engineering / lakehouse / ETL →
engineering-data-engineeragent - Self-healing pipelines / data quality remediation →
niche-engineering-routingskill →engineering-ai-data-remediation-engineer - Financial close / month-end reconciliation →
finance-analysisskill
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 · 40 lines · 108 tokens per session scan A 6b40c899c76d
data-ops-routing is a skill published in the GitHub repository daehounan/agency-agents-fork (2 stars, last pushed 3mo ago), licensed MIT. It adds 108 tokens to every session and 421 once invoked, about $0.0005 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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