A skill your agent uses when deciding what belongs in a USENIX FAST paper body versus its artifact and appendices, covering the USENIX two-column page budget (references excluded), the rule that…

MITAuto-check passed

Install Fast Supplementary

skills CLI
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill fast-supplementary -a claude-code

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

GitHub CLI
$ gh skill install brycewang-stanford/Awesome-Journal-Skills fast-supplementary --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/FAST-Skills/skills/fast-supplementary .claude/skills/fast-supplementary && 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
fast-supplementary
GitHub stars
1.2k
Token cost
~1.2k tokens
SKILL.md length
456 words
Files
1
Skills in repo
2,387
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when deciding what belongs in a USENIX FAST paper body versus its artifact and appendices, covering the USENIX two-column page budget (references excluded), the rule that…

  • Deciding what belongs in a USENIX FAST paper body versus its artifact and appendices
  • SKILL.md covers What goes where, The page-budget discipline, Double-blind supplementary rules and Appendix and artifact-appendix…, plus 2 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Covering the USENIX two-column page budget (references excluded)

What it does

Fast Supplementary is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when deciding what belongs in a USENIX FAST paper body versus its artifact and appendices, covering the USENIX two-column page budget (references excluded), the rule that decision-critical storage evidence stays inside the reviewed pages, double-blind supplementary material, and how to split a storage paper between body and package.

Its SKILL.md is about 1.2k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

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

  • Deciding what belongs in a USENIX FAST paper body versus its artifact and appendices
  • Covering the USENIX two-column page budget (references excluded)
  • The rule that decision-critical storage evidence stays inside the reviewed pages
  • Double-blind supplementary material

Example prompts

  • “/fast-supplementary”

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

Fast Supplementary loads about 1.2k tokens when it runs. Until then it costs about 89 tokens; SKILL.md has 456 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~89
When it runs · the whole SKILL.md, loaded when a task matches
~1.2k

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). 456 words, ~1,183 tokens.

Download SKILL.mdSave it as .claude/skills/fast-supplementary/SKILL.md (or your agent's skills folder).
name
fast-supplementary
description
Use when deciding what belongs in a USENIX FAST paper body versus its artifact and appendices, covering the USENIX two-column page budget (references excluded), the rule that decision-critical storage evidence stays inside the reviewed pages, double-blind supplementary material, and how to split a storage paper between body and package.

FAST Supplementary

Use this when assembling FAST supplementary material. The governing rule is simple and strict: the paper must be judgeable from the reviewed pages alone. The artifact, traces, and any appendix support the paper; they do not hold the argument. Reviewers open the artifact at their discretion, so anything the decision depends on lives in the body.

What goes where

ContentBody (within page budget)Artifact / appendix
The storage claim and its headline resultYes—
Core design or study protocolYesFull parameter sweeps, extra configs
The testbed: device models, firmware, stateYes (summary table)The complete machine/firmware inventory
Headline storage metrics + the invariant testYes (WA/tail latency/crash test)Full distributions, per-run logs
Crash-consistency evidence for a durability claimThe result + methodThe fault-injection / replay harness
Workloads and tracesNamed + why chosenThe trace archive and replay scripts
Raw device counters, logs, scripts—Yes
Reproduction instructionsA pointerThe README and run scripts

If a reviewer would need to open the artifact to know whether to accept, the paper is mis-partitioned — move that evidence into the body.

The page-budget discipline

FAST's USENIX two-column budget (FAST '27: ≤12 pages long / ≤6 short, references excluded) is firm, and it counts figures and tables. References are uncapped, so a rich bibliography costs no body space, but everything else competes. Consequences:

  • Keep the headline storage metric, the device table, and the durability/consistency check in the body — they are decision-critical.
  • Move long parameter sweeps, per-device breakdowns, and secondary microbenchmarks to the artifact with explicit forward references.
  • Do not use the artifact to smuggle in a result that would not fit — an argument that only closes with material outside the reviewed pages reads as unreviewable.
Show full SKILL.md (176 more words)Show less

Double-blind supplementary rules

text
[No identity]   no authors, affiliations, acknowledgements, funders, hostnames, cluster paths, or
                repo owners anywhere in the archive or appendix
[Anonymized links] the availability link points at an anonymizing host, not a personal/institutional repo
[Scrub device dumps] SMART/firmware/config dumps can carry serials, hostnames, or datacenter tags — redact them
[Clean archive]  no .git history, .DS_Store, credentials, caches, or huge irrelevant trace dumps
[Opens clean]    verify the archive unzips and the README orients a reader in one minute on a fresh machine

Appendix and artifact-appendix architecture

  • Order supplementary sections to mirror the paper's claim/RQ order; reviewers navigate by claim, not page number.
  • Keep each supplementary section referenced from the body at least once — orphaned material is invisible under discretionary review.
  • Distinguish the review-time artifact (anonymized, for the paper's reviewers) from the artifact appendix added post-acceptance for the AEC and badges (fast-artifact-evaluation); do not conflate them.
  • Confirm on the current call whether any in-paper appendix counts against the page budget; this varies and changes the split.

Vignette: splitting a file-system design paper

A paper presenting a new file-system layout plus an evaluation: the body keeps the design, the headline results (write amplification and tail latency on named devices at steady state), the crash-consistency test summary, and the caveats; the artifact holds the full parameter sweeps, the complete device/firmware inventory, the aging-workload scripts, the crash-injection harness, the archived traces with replay scripts, and the analysis notebooks. Nothing decision-critical lives only in the artifact, because artifact inspection is discretionary and the reviewers judge from the pages.

Output format

text
[Supplement status] ready / needs fixes / not ready
[Partition check] anything decision-critical outside the body? <none / move: what>
[Page budget] body within the 12/6-page limit? references excluded correctly? yes/no
[Anonymity] archive + device dumps clean of identity/metadata? passed/issues
[Body dependency] <what a reviewer can decide without opening the artifact>

© 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 FAST-Skills/skills/fast-supplementary of brycewang-stanford/Awesome-Journal-Skills.

Open the folder on GitHubat commit 932eb23

Compare with similar skills

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Meta In Bodythedaviddias/Front-End-Checklist74k—~541Automated safety check: PassMIT
Pull Request Title and Body Writeropeninterpreter/openinterpreter69k2 repos~1.1kAutomated safety check: PassApache-2.0
Add Function Bodyonnx/onnx22k—~1.1kAutomated safety check: PassApache-2.0
Aer Paper Bodybrycewang-stanford/Auto-Empirical-Research-Skills4.6k1 repos~3.3kAutomated safety check: PassCustom licence

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Questions about Fast Supplementary

What does Fast Supplementary do?

A skill your agent uses when deciding what belongs in a USENIX FAST paper body versus its artifact and appendices, covering the USENIX two-column page budget (references excluded), the rule that…. Fast Supplementary is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when deciding what belongs in a USENIX FAST paper body versus its artifact and appendices, covering the USENIX two-column page budget (references excluded), the rule that decision-critical storage evidence stays inside the reviewed pages, double-blind supplementary material, and how to split a storage paper between body and package.

When should I use Fast Supplementary?

Fast Supplementary fits situations like: deciding what belongs in a USENIX FAST paper body versus its artifact and appendices; covering the USENIX two-column page budget (references excluded); the rule that decision-critical storage evidence stays inside the reviewed pages; double-blind supplementary material.

How do I install Fast Supplementary in Claude Code?

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

How do I install Fast Supplementary in Codex?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill fast-supplementary -a codex`. Or copy the skill folder (FAST-Skills/skills/fast-supplementary in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/fast-supplementary in your project. Codex loads it when a task matches its description.

Can I use Fast Supplementary 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 fast-supplementary -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/fast-supplementary, .gemini/skills/fast-supplementary, .github/skills/fast-supplementary and .opencode/skills/fast-supplementary in your project.

What does Fast Supplementary need to run?

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

Does Fast Supplementary 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 Fast Supplementary 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 Fast Supplementary use?

Fast Supplementary 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 Fast Supplementary use?

About 1.2k tokens (SKILL.md is roughly 4.7k 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 Fast Supplementary?

Skills that share tags, products or a category with Fast Supplementary: Aria Hidden Body (thedaviddias/Front-End-Checklist, 74k stars), Meta In Body (thedaviddias/Front-End-Checklist, 74k stars), Pull Request Title and Body Writer (openinterpreter/openinterpreter, 69k stars) and Add Function Body (onnx/onnx, 22k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Fast Supplementary?

brycewang-stanford (a GitHub user) maintains it in brycewang-stanford/Awesome-Journal-Skills, which has 1,231 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.