A skill your agent uses when assembling the Internet Appendix, data codebook, and replication materials for a Journal of Financial Markets (JFM) manuscript — what stays in the main text vs.

MITAuto-check passedDatabases

Install Jfm Internet Appendix

skills CLI
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jfm-internet-appendix -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install brycewang-stanford/Awesome-Journal-Skills jfm-internet-appendix --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/Journal-of-Financial-Markets-Skills/skills/jfm-internet-appendix .claude/skills/jfm-internet-appendix && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
jfm-internet-appendix
GitHub stars
1.2k
Token cost
~2k tokens
SKILL.md length
1,002 words
Files
1
Skills in repo
2,387
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when assembling the Internet Appendix, data codebook, and replication materials for a Journal of Financial Markets (JFM) manuscript — what stays in the main text vs.

  • Works in 5 steps: Data lineage: raw feed (TAQ / LOBSTER /… → Codebook: every variable, its… → Proprietary-data path: if the feed… → …
  • Assembling the Internet Appendix
  • SKILL.md covers When to trigger, What belongs where, Building the replication… and Worked self-containment test…, plus 7 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Jfm Internet Appendix is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when assembling the Internet Appendix, data codebook, and replication materials for a Journal of Financial Markets (JFM) manuscript — what stays in the main text vs. the appendix, and the TAQ/proprietary-data access path. Organizes supporting material; it does not invent evidence or citations.

Its SKILL.md is about 2k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Databases, covering Database administration and Citation management. The repository describes itself as: Journal-specific Claude Code/Codex skill packs covering mainstream journals — AER, QJE, Nature, Cell, 管理世界, 经济研究 & 200+ more — your fast track to getting published. | 覆盖主流期刊的… The licence is MIT.

When your agent uses it

  • Assembling the Internet Appendix
  • Replication materials for a Journal of Financial Markets (JFM) manuscript — what stays in the main text vs

Example prompts

  • “/jfm-internet-appendix”

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  1. Data lineage: raw feed (TAQ / LOBSTER / proprietary) → cleaning scripts → analysis files, with a README mapping each table/figure to the…
  2. Codebook: every variable, its construction (effective spread formula, impact horizon, sign-classification rule), and every filter with its…
  3. Proprietary-data path: if the feed cannot be redistributed (e.g., a vendor or exchange feed), document the access path — vendor, license…
  4. Environment: software versions and a lockfile so estimates reproduce (PIN/lambda estimation is sensitive to solver settings).
  5. Map from appendix to claim: each appendix table states which main-text sentence it supports.

What it can do on your machine

Read from SKILL.md and the folder at commit 932eb23. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Jfm Internet Appendix loads about 2k tokens when it runs. Until then it costs about 80 tokens; SKILL.md has 1,002 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~80
When it runs · the whole SKILL.md, loaded when a task matches
~2k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from brycewang-stanford/Awesome-Journal-Skills at commit 932eb23, republished under its MIT licence (© brycewang-stanford). 1,002 words, ~2,023 tokens.

Download SKILL.mdSave it as .claude/skills/jfm-internet-appendix/SKILL.md (or your agent's skills folder).
name
jfm-internet-appendix
description
Use when assembling the Internet Appendix, data codebook, and replication materials for a Journal of Financial Markets (JFM) manuscript — what stays in the main text vs. the appendix, and the TAQ/proprietary-data access path. Organizes supporting material; it does not invent evidence or citations.

Internet Appendix & Replication (jfm-internet-appendix)

When to trigger

  • The main text is overflowing with secondary robustness tables that should move to an appendix
  • A referee asked for a check that does not deserve main-text space but must be available
  • The liquidity-measure construction and sample filters are described too thinly to be reproduced
  • You are preparing the replication package and must document a proprietary or restricted data feed
  • It is unclear which results are load-bearing (main text) vs. supporting (appendix)

What belongs where

The discipline is the main paper must be self-contained: every claim a referee must accept to believe the headline lives in the main text. The Internet Appendix carries depth, not load-bearing claims.

MaterialMain textInternet Appendix
Headline result + its identifying design✓
The one or two load-bearing robustness checks✓
Alternative liquidity-measure replicationssummary linefull tables
Sample-filter / period / subsample variationsmentionfull grid
Full microstructure-measure construction & formulasbriefcomplete derivation
Data cleaning rules (trade-quote match, filters)summaryexhaustive codebook
Placebo / falsification batteriesresult statedfull set
Proofs / model details (if theory)key stepscomplete

Building the replication package (Elsevier / JFM context)

JFM is an Elsevier journal; confirm the current data-and-code policy and whether a deposit is required at submission vs. acceptance (检索于 2026-06;以官网为准 — 待核实). Regardless of the minimum, prepare:

  1. Data lineage: raw feed (TAQ / LOBSTER / proprietary) → cleaning scripts → analysis files, with a README mapping each table/figure to the script that builds it.
  2. Codebook: every variable, its construction (effective spread formula, impact horizon, sign-classification rule), and every filter with its rationale.
  3. Proprietary-data path: if the feed cannot be redistributed (e.g., a vendor or exchange feed), document the access path — vendor, license, query/sample definition — so a replicator can obtain equivalent data. Never imply data can be shared that cannot.
  4. Environment: software versions and a lockfile so estimates reproduce (PIN/lambda estimation is sensitive to solver settings).
  5. Map from appendix to claim: each appendix table states which main-text sentence it supports.

Worked self-containment test (illustrative)

Read only the main text and ask: could a referee accept the headline without ever opening the appendix? If the only evidence that the result is not a measurement artifact sits in Internet Appendix Table IA.7, the paper fails — move at least one alternative-measure column into the main text and leave the full battery in the appendix. Conversely, if the main text reproduces every sub-period split and influential-name drop, it is bloated — push those down and keep a one-line summary ("results are stable across sub-periods and to dropping the most-traded names; see IA.2-IA.4"). The main text carries the claims; the appendix carries the exhaustiveness.

Proprietary-data documentation patterns

Microstructure papers routinely use feeds that cannot be redistributed (exchange order-book feeds, a broker's order data, Nasdaq ITCH, a vendor's TAQ license). The honest pattern is to document the access path precisely: the vendor/exchange, the product name, the license type, the exact query or universe/period filter used, and the cost tier if relevant. A replicator with their own license can then reconstruct the sample. State plainly what is shareable (code, derived non-proprietary aggregates) and what is not. Do not write "data available on request" for data you have no right to share — that is a common and easily caught evasion.

Checklist

  • Main text is self-contained: no headline-supporting claim lives only in the appendix
  • Each appendix exhibit names the main-text claim it backs
  • Full liquidity-measure construction and filter rules are in the codebook
  • README maps every table/figure to its build script
  • Proprietary/restricted data has a documented access path, not a false promise of sharing
  • Software versions / lockfile recorded so numerically sensitive estimates reproduce
  • Data-and-code policy specifics verified or marked 待核实
Show full SKILL.md (399 more words)Show less

A working appendix table of contents

A curated Internet Appendix for a typical empirical microstructure paper reads as a deliberate outline, not a dumping ground: IA.1 full variable definitions and construction formulas (every liquidity/impact measure); IA.2 the complete sample-filter grid and how many records each screen removes; IA.3 alternative liquidity-measure replications of the headline; IA.4 sub-period and asset-subset robustness; IA.5 placebo/falsification tests; IA.6 computational details (solver, starting values, tolerances, software versions); IA.7 additional figures (intraday patterns, alternative event windows). Each section opens with one line stating which main-text claim it supports. This structure lets a referee find the check they want in seconds and signals that the authors know exactly which results are load-bearing.

The appendix-to-text feedback loop

Use the appendix build as a check on the main text. If, while curating the appendix, you find a robustness check that is essential to believing the headline, that check belongs in the main text — promote it. If you find a main-text table that no reader needs to accept the claim, demote it. Done well, this pass leaves a main text where every exhibit is load-bearing and an appendix where every exhibit is genuinely supplementary, each labeled with the claim it backs. The relabeling alone often surfaces a buried fragility the authors had not noticed.

Anti-patterns

  • The appendix carrying a result the main argument depends on
  • A sprawling appendix of orphan tables with no link to any claim
  • "Data available on request" used to dodge documenting a real access path
  • Omitting the construction formula for a non-standard liquidity measure
  • No record of solver/version settings for PIN/structural estimates
  • Treating the appendix as a dumping ground instead of curating it

Reproducibility for numerically fragile estimates

Microstructure papers often rely on estimates that are sensitive to implementation: PIN/VPIN (likelihood with many local optima), Kyle's lambda (regression specification and sampling frequency), realized-volatility and impact measures (sampling-frequency and noise corrections), and structural model solvers. For these, the appendix and replication package must record the exact solver, starting values, multistart strategy, convergence tolerance, and software versions — otherwise a replicator gets different numbers and reads it as a failure. A short "computational details" subsection that states these, plus a lockfile pinning package versions, pre-empts the most common reproducibility dispute. Where a derived aggregate can be shared even though the raw feed cannot, ship that aggregate so the final tables at least reproduce from an intermediate file.

Output format

text
【Journal】Journal of Financial Markets (JFM)
【Skill】jfm-internet-appendix
【Self-containment】main text stands alone? [Y/N]
【Appendix map】each exhibit ↔ main-text claim? [Y/N]
【Codebook】measures + filters fully documented? [Y/N]
【Data access path】proprietary feed access documented (not false sharing)? [Y/N]
【Reproducibility】versions/lockfile recorded? [Y/N]
【Policy status】data-and-code policy verified or 待核实
【Next skill】jfm-writing-style

© brycewang-stanford, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in Journal-of-Financial-Markets-Skills/skills/jfm-internet-appendix of brycewang-stanford/Awesome-Journal-Skills.

Open the folder on GitHubat commit 932eb23

Compare with similar skills

Jfm Internet Appendix next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Jfm Internet Appendix compared with similar skills
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Jfm Internet Appendix this skillbrycewang-stanford/Awesome-Journal-Skills1.2k—~2kAutomated safety check: PassMIT
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Ieee Paper ReaderCloudWave818/ieee-skills355—~591Automated safety check: PassMIT
Joe Replication And Data Policyfranklee16/academic-research-skills2231 repos~986Automated safety check: PassNone
Investigating Anomalous ResultsK-Dense-AI/science-superpowers348—~1.9kAutomated safety check: PassCustom licence
Bio Multi Omics Similarity NetworkGPTomics/bioSkills1.2k1 repos~4.3kAutomated safety check: PassMIT

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Questions about Jfm Internet Appendix

What does Jfm Internet Appendix do?

A skill your agent uses when assembling the Internet Appendix, data codebook, and replication materials for a Journal of Financial Markets (JFM) manuscript — what stays in the main text vs. Jfm Internet Appendix is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when assembling the Internet Appendix, data codebook, and replication materials for a Journal of Financial Markets (JFM) manuscript — what stays in the main text vs.

When should I use Jfm Internet Appendix?

Jfm Internet Appendix fits situations like: assembling the Internet Appendix; replication materials for a Journal of Financial Markets (JFM) manuscript — what stays in the main text vs.

How do I install Jfm Internet Appendix in Claude Code?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jfm-internet-appendix -a claude-code`. Or copy the skill folder (Journal-of-Financial-Markets-Skills/skills/jfm-internet-appendix in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/jfm-internet-appendix in your project. Claude Code loads it when a task matches its description.

How do I install Jfm Internet Appendix in Codex?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jfm-internet-appendix -a codex`. Or copy the skill folder (Journal-of-Financial-Markets-Skills/skills/jfm-internet-appendix in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/jfm-internet-appendix in your project. Codex loads it when a task matches its description.

Can I use Jfm Internet Appendix in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jfm-internet-appendix -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/jfm-internet-appendix, .gemini/skills/jfm-internet-appendix, .github/skills/jfm-internet-appendix and .opencode/skills/jfm-internet-appendix in your project.

What does Jfm Internet Appendix need to run?

SKILL.md names no scripts, command-line tools or credentials: Jfm Internet Appendix is instructions for the agent only.

Does Jfm Internet Appendix access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Jfm Internet Appendix safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Jfm Internet Appendix use?

Jfm Internet Appendix is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Jfm Internet Appendix use?

About 2k tokens (SKILL.md is roughly 8.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Jfm Internet Appendix?

Skills that share tags, products or a category with Jfm Internet Appendix: Scholar Replication (joshzyj/open-scholar-skill, 168 stars), Ieee Paper Reader (CloudWave818/ieee-skills, 355 stars), Joe Replication And Data Policy (franklee16/academic-research-skills, 223 stars) and Investigating Anomalous Results (K-Dense-AI/science-superpowers, 348 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Jfm Internet Appendix?

brycewang-stanford (a GitHub user) maintains it in brycewang-stanford/Awesome-Journal-Skills, which has 1,219 GitHub stars. The repository holds 2,387 skills in this directory. The repository was last updated on September 27, 2026.

Source: brycewang-stanford/Awesome-Journal-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.