Borrowing it
Nothing to install: this file belongs to shailendrahegde/pbi-to-exec-deck. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/shailendrahegde/pbi-to-exec-deck/main/.github/copilot-instructions.mdgit clone --depth 1 https://github.com/shailendrahegde/pbi-to-exec-deckWrote 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/instructions/shailendrahegde/pbi-to-exec-deck/copilot-instructions)<a href="https://agentmods.dev/instructions/shailendrahegde/pbi-to-exec-deck/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/shailendrahegde/pbi-to-exec-deck/copilot-instructions.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 | $0.00301 | $0.00301 |
| Opus 5 | $0.00151 | $0.00151 |
| Sonnet 5 | $0.00060 | $0.00060 |
| Haiku 4.5 | $0.00030 | $0.00030 |
Grade A, and why
pbi-to-exec-deck copilot-instructions.md 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
Copilot Project Instructions
Read and follow the instructions in COPILOT.md for the full workflow. That file is the authoritative guide for converting Power BI dashboards into executive presentations.
Quick Reference
When a user asks you to convert a dashboard (PPTX, PDF, PBIP, or PBIX):
- Extract:
python convert_dashboard.py --source "<path>" --prepare --assistant copilot - Analyze: Read
temp/analysis_request.json, read each slide image (temp/slide_N.png), generate analyst-grade insights, writetemp/insights.json - Verify:
python convert_dashboard.py --verify(catches missing charts, vanilla headlines, slide count mismatches) - Build:
python convert_dashboard.py --build --output "<output>.pptx"(also runs verify automatically)
Critical quality rules:
- Every slide with quantitative data MUST have at least one
"chart"spec — don't let slides fall back to raw screenshots - If a slide has
"ocr_used": true, cross-verify every number-to-label pairing against the image — OCR context can misattribute - Every headline must pass the "Would a VP forward this?" test — no vanilla statements like "shows the breakdown"
Always follow the full instructions in COPILOT.md — it contains the JSON schema, insight formula, chart spec format, quality rules, and accuracy guidelines.
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 · 21 lines · 301 tokens per session scan A f9e99cfd06af
pbi-to-exec-deck copilot-instructions.md is an instructions file published in the GitHub repository shailendrahegde/pbi-to-exec-deck (11 stars, last pushed 5mo ago), licensed MIT. It adds 301 tokens to every session, about $0.0015 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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