Borrowing it
Nothing to install: this file belongs to azazhang/finance-literature-review-skill. 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/azazhang/finance-literature-review-skill/main/.github/copilot-instructions.mdgit clone --depth 1 https://github.com/azazhang/finance-literature-review-skillWrote 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/azazhang/finance-literature-review-skill/copilot-instructions)<a href="https://agentmods.dev/instructions/azazhang/finance-literature-review-skill/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/azazhang/finance-literature-review-skill/copilot-instructions/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/instructions/azazhang/finance-literature-review-skill/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/azazhang/finance-literature-review-skill/copilot-instructions.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 | $0.00219 | $0.00219 |
| Opus 5 | $0.00110 | $0.00110 |
| Sonnet 5 | $0.00044 | $0.00044 |
| Haiku 4.5 | $0.00022 | $0.00022 |
Grade A, and why
finance-literature-review-skill 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 12d 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
Finance Literature Review Instructions
Use this workflow when the user asks for a literature review, related literature section, annotated bibliography, gap analysis, or finance / economics / accounting paper scan.
Core Defaults
- Prioritize top finance journals first.
- Bring in top economics or accounting journals only when they are substantively adjacent.
- Treat NBER, CEPR, SSRN, and RePEc / IDEAS as frontier sources, not automatic substitutes for published evidence.
Hard Rules
- Never fabricate citations, DOI values, or journal placements.
- Always separate published papers from working papers.
- For empirical papers, record:
- sample,
- sample period,
- unit of observation,
- identification strategy,
- main outcome,
- main result,
- mechanism,
- main limitation.
- If only metadata or abstracts are available, state that explicitly.
Preferred Output Shape
- one-paragraph scope definition,
- venue-prioritized reading list,
- literature matrix,
- synthesis by theme and research design,
- explicit research gaps,
- verified citation block.
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.
- 12d ago First seen · 34 lines · 219 tokens per session scan A fec9e15bbb56
finance-literature-review-skill copilot-instructions.md is an instructions file published in the GitHub repository azazhang/finance-literature-review-skill (1 stars, last pushed 5mo ago), licensed MIT. It adds 219 tokens to every session, about $0.0011 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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