finance-literature-review-skill: Instructions file for GitHub Copilot

.github/copilot-instructions.md

finance-literature-review-skill copilot-instructions.md is an instructions file for GitHub Copilot from azazhang/finance-literature-review-skill. It costs 724 tokens per session, scanned A, original, MIT.

A set of instructions for reviewing finance, economics, or accounting research literature. A literature review summarizes existing studies, compares their methods and findings, and identifies gaps.

In plain words
What is it for?
Use it to prepare reading lists, literature matrices, thematic research summaries, gap analyses, and verified citation sections.
Why use it?
It helps keep source selection, citation claims, study details, and limitations organized without treating working papers as published evidence.

Instructions file for GitHub Copilot

Written for GitHub Copilot: a Copilot instructions file.

This is azazhang/finance-literature-review-skill's own configuration. It tells GitHub Copilot how to work on finance-literature-review-skill itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything finance-literature-review-skill configures →

Reuse

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.

Copy the file
curl -O https://raw.githubusercontent.com/azazhang/finance-literature-review-skill/main/.github/copilot-instructions.md
Clone the repo
git clone --depth 1 https://github.com/azazhang/finance-literature-review-skill

Made for: GitHub Copilot.

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Per session 724 This file is loaded in full into every session.
When invoked 724 The same file — it is already loaded in full.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00724 $0.00724
Opus 5.5 $0.00290 $0.00290
Sonnet 5.5 $0.00145 $0.00145
Haiku 4.5 $0.00072 $0.00072

Measured 26d ago against content hash 3feb372b1b90, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

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 26d 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.

.github/copilot-instructions.md · 42 lines

How it starts

The opening of the file, as written. The whole thing — 42 lines — stays where its author put it; the contents beside it link to each section on GitHub.

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 (JF, JFE, RFS), subfield leaders (JFQA, RCFS, RAPS, JMCB, JCF), top economics (Top 5), and top accounting (Top 5).
  • Dynamic Working Paper Integration: Never automatically rank working papers at the bottom. Tier them into Tier 1 (NBER, CEPR, Central Banks, Top 3/5 R&Rs, AFA/WFA/NBER SI), Tier 2, and Tier 3. For frontier/emergent topics, Tier 1 working papers sit co-equal with Top 3 publications.
  • Systematic Working Paper Discovery: Query SSRN FEN eJournals, NBER programs (CF, AP, ME), CEPR, Central Bank series (FEDS, NY Fed, BIS, ECB), annual conference programs (AFA, WFA, EFA, NBER SI), RePEc/IDEAS NEP reports, and finance JEL codes (G1, G2, G3, M4, E4/E5).
  • Abstract Quarantine & Anti-Hallucination:
    • Never infer identification strategy, fixed effects, clustering, or numerical magnitudes from an abstract alone.
    • If only an abstract is available, tag [Abstract-Only Provisional], preface statements with "Author claims in abstract (unverified): ...", and mark design fields unverified.
    • Abstract-only papers cannot establish definitive ownership or declare research gaps settled.
  • 3-Anchor Introduction Protocol: Retrieve the Introduction (Paras 3–11) and baseline table notes to verify: (1) Setting & specific exogenous shock, (2) Quantitative magnitude, (3) Self-stated contribution relative to benchmark papers.
  • Intellectual Lineage: Distinguish Theoretical Originator $\rightarrow$ Empirical Landmark $\rightarrow$ Causal ID Benchmark $\rightarrow$ Boundary Reassessment. Record both what a paper established and its boundary conditions (what it left open).

Hard Rules

  • Never fabricate citations, DOI values, or journal placements.
  • Always separate published papers from working papers, verify if older working papers were subsequently published, and record screening signals (R&R status, conference presentation).
  • For empirical papers, record:
    • research question,
    • setting and primary data infrastructure (Compustat, CRSP, Dealscan, Call Reports, HMDA, TRACE),
    • sample period and screens/filters,
    • unit of observation,
    • identification strategy and specific exogenous shock / source of variation,
    • econometric nuance (fixed effects structure, clustering, staggered DiD diagnostics),
    • verified main outcome and economic magnitude,
    • mechanism / transmission channel,
    • boundary conditions and identification threats (what the paper leaves open),
    • venue tier and verification status.
  • If only metadata or abstracts are available, state that explicitly.

Read the full file on GitHub · 42 lines

Changes

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.

  1. 26d ago Changed · +8 lines · +505 tokens per session 3feb372b1b90
  2. 1mo ago First seen · 34 lines · 219 tokens per session scan A fec9e15bbb56

Subscribe to this mod's changes

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 27d ago), licensed MIT. It adds 724 tokens to every session, about $0.0029 per session on Opus 5.5. 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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