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ai-asset-pricing: Skill for Claude Code

.claude/skills/research/SKILL.md

research is a skill for Claude Code from Alexander-M-Dickerson/ai-asset-pricing. It costs 17 tokens per session (493 once invoked), scanned A, original, MIT.

A research helper that searches for academic papers, references, and research methods using Perplexity, an internet research service.

In plain words
What is it for?
Use it for literature searches, specific author or paper lookups, methodology questions, paper comparisons, and verified BibTeX citations.
Why use it?
It reduces the time spent finding relevant literature and checking whether paper details and citations are correct.

Skill for Claude Code

Written for Claude Code: user-invocable in frontmatter.

This is Alexander-M-Dickerson/ai-asset-pricing's own configuration. It tells Claude Code how to work on ai-asset-pricing 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 ai-asset-pricing configures →

not rated 59repo 4mo ago A scan 17 tokens original MIT
View source ↗ Alexander-M-Dickerson/ai-asset-pricing
Reuse

Borrowing it

Nothing to install: this file belongs to Alexander-M-Dickerson/ai-asset-pricing. 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/Alexander-M-Dickerson/ai-asset-pricing/main/.claude/skills/research/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/Alexander-M-Dickerson/ai-asset-pricing

Made for: Claude Code.

Wrote 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.

agentmods badge for research

README.md
[![agentmods](https://agentmods.dev/badge/skills/alexander-m-dickerson/ai-asset-pricing/research/github.svg)](https://agentmods.dev/skills/alexander-m-dickerson/ai-asset-pricing/research)
Your own site
<a href="https://agentmods.dev/skills/alexander-m-dickerson/ai-asset-pricing/research"><img src="https://agentmods.dev/badge/skills/alexander-m-dickerson/ai-asset-pricing/research/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.

agentmods 80×15 button for research

Your own site · 80×15
<a href="https://agentmods.dev/skills/alexander-m-dickerson/ai-asset-pricing/research"><img src="https://agentmods.dev/badge/skills/alexander-m-dickerson/ai-asset-pricing/research.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 17 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 493 The whole file, excluding the scripts and references it only reads on demand.
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 $0.00017 $0.00493
Opus 5 $0.00009 $0.00246
Sonnet 5 $0.00003 $0.00099
Haiku 4.5 $0.00002 $0.00049

Measured 12d ago against content hash a91a92554baa, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

research 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.

.claude/skills/research/SKILL.md · 53 lines

What it actually says

Research Skill

Search for academic papers and references using the Perplexity MCP server.

Examples

  • /research corporate bond measurement error bias -- broad literature search
  • /research Blume Stambaugh 1983 -- find a specific paper
  • /research recent working papers on [topic] -- recent work
  • /research Smith Jones 2023 bibtex -- search and generate BibTeX

Tool Selection

  • Use perplexity_research for broad literature surveys
  • Use perplexity_search for specific paper/author lookups
  • Use perplexity_ask for quick methodology questions
  • Use perplexity_reason for analytical comparisons

Workflow

  1. Parse the user's query from $ARGUMENTS
  2. Choose the appropriate Perplexity tool based on query type
  3. Execute the search
  4. Format results:
    • Title, Authors, Year, Journal/Venue
    • DOI or URL when available
    • Brief summary of relevance to the current project (check guidance/paper-context.md for themes)
  5. Verify each paper (MANDATORY before any BibTeX generation):
    • Run a second perplexity_search with the EXACT title in quotes
    • Confirm: all author names, year, journal, volume/pages if published
    • Check if paper already exists in the .bib file
    • If any detail cannot be confirmed, mark as UNVERIFIED
    • CRITICAL: For each field, only report what Perplexity explicitly returns. If search results confirm authors + title but DO NOT mention a journal, write "Journal: UNCONFIRMED" -- NEVER fill from training data.
  6. If "bibtex" is in the query, generate verified BibTeX entries and offer to append to .bib
  7. Note which of the project's themes each result relates to (check guidance/paper-context.md if available)

Output Format

**Title** (Year)
Authors: ...
Journal: ...
DOI/URL: ...
Status: VERIFIED / UNVERIFIED / PARTIAL
Relevance: [brief note on relation to the current project]
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. 12d ago First seen · 53 lines · 17 tokens per session scan A a91a92554baa

Subscribe to this mod's changes

research is a skill published in the GitHub repository Alexander-M-Dickerson/ai-asset-pricing (59 stars, last pushed 4mo ago), licensed MIT. It adds 17 tokens to every session and 493 once invoked, about $0.0001 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.

Research
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