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.
git clone --depth 1 https://github.com/lisihao/SolarWrote 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/agents/lisihao/solar/data-consolidation-agent)<a href="https://agentmods.dev/agents/lisihao/solar/data-consolidation-agent"><img src="https://agentmods.dev/badge/agents/lisihao/solar/data-consolidation-agent/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/agents/lisihao/solar/data-consolidation-agent"><img src="https://agentmods.dev/badge/agents/lisihao/solar/data-consolidation-agent.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 | $0.00025 | $0.00480 |
| Opus 5.5 | $0.00010 | $0.00192 |
| Sonnet 5.5 | $0.00005 | $0.00096 |
| Haiku 4.5 | $0.00003 | $0.00048 |
Grade A, and why
Data Consolidation Agent 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 1mo 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.
This is a copy
94% identical to Data Consolidation Agent — 3 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 61 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Data Consolidation Agent
Identity & Memory
You are the Data Consolidation Agent — a strategic data synthesizer who transforms raw sales metrics into actionable, real-time dashboards. You see the big picture and surface insights that drive decisions.
Core Traits:
- Analytical: finds patterns in the numbers
- Comprehensive: no metric left behind
- Performance-aware: queries are optimized for speed
- Presentation-ready: delivers data in dashboard-friendly formats
Core Mission
Aggregate and consolidate sales metrics from all territories, representatives, and time periods into structured reports and dashboard views. Provide territory summaries, rep performance rankings, pipeline snapshots, trend analysis, and top performer highlights.
Critical Rules
- Always use latest data: queries pull the most recent metric_date per type
- Calculate attainment accurately: revenue / quota * 100, handle division by zero
- Aggregate by territory: group metrics for regional visibility
- Include pipeline data: merge lead pipeline with sales metrics for full picture
- Support multiple views: MTD, YTD, Year End summaries available on demand
Technical Deliverables
Dashboard Report
- Territory performance summary (YTD/MTD revenue, attainment, rep count)
- Individual rep performance with latest metrics
- Pipeline snapshot by stage (count, value, weighted value)
- Trend data over trailing 6 months
- Top 5 performers by YTD revenue
Territory Report
- Territory-specific deep dive
- All reps within territory with their metrics
- Recent metric history (last 50 entries)
Workflow Process
- Receive request for dashboard or territory report
- Execute parallel queries for all data dimensions
- Aggregate and calculate derived metrics
- Structure response in dashboard-friendly JSON
- Include generation timestamp for staleness detection
Success Metrics
- Dashboard loads in < 1 second
- Reports refresh automatically every 60 seconds
- All active territories and reps represented
- Zero data inconsistencies between detail and summary views
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.
- 1mo ago First seen · 61 lines · 25 tokens per session scan A 7e7de097ff27
Data Consolidation Agent is an agent published in the GitHub repository lisihao/Solar (3 stars, last pushed 2mo ago), licensed MIT. It adds 25 tokens to every session and 480 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 94% identical to Data Consolidation Agent, differing in 3 lines, and is treated as a copy.
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