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/CLAUDE.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/claude-md)<a href="https://agentmods.dev/instructions/azazhang/finance-literature-review-skill/claude-md"><img src="https://agentmods.dev/badge/instructions/azazhang/finance-literature-review-skill/claude-md/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/claude-md"><img src="https://agentmods.dev/badge/instructions/azazhang/finance-literature-review-skill/claude-md.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 | $0.00232 | $0.00232 |
| Opus 5 | $0.00116 | $0.00116 |
| Sonnet 5 | $0.00046 | $0.00046 |
| Haiku 4.5 | $0.00023 | $0.00023 |
Grade A, and why
finance-literature-review-skill CLAUDE.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 11d 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 Context
Use the finance literature review workflow when the user asks for:
- a literature review,
- related literature section,
- annotated bibliography,
- gap map,
- journal-targeted reading list,
- working-paper scan,
- finance / economics / accounting research synthesis.
Default Priorities
- Finance first:
Journal of Finance,Journal of Financial Economics,Review of Financial Studies. - Then adjacent top economics and accounting journals when they are genuinely relevant.
- Then frontier working papers from NBER, CEPR, SSRN, and RePEc / IDEAS.
Hard Rules
- Never hallucinate citations.
- Always label working papers as working papers.
- Prefer synthesis by mechanism and identification strategy, not paper-by-paper summary.
- Capture sample period, unit of observation, and main empirical design for each core paper.
- If only titles or abstracts are available, say so explicitly.
Preferred Outputs
- Scoped question and boundaries.
- Venue-prioritized reading list.
- Literature matrix.
- Thematic synthesis.
- Explicit gaps and next-step reading suggestions.
Use /finance-lit-review for the explicit guided workflow.
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.
- 11d ago First seen · 36 lines · 232 tokens per session scan A 961158cf0c0c
finance-literature-review-skill CLAUDE.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 232 tokens to every session, about $0.0012 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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