Longbridge Research
helsome/folio
Institution ratings, consensus price targets, EPS/revenue forecasts, finance calendar, shareholder data, fund holders, insider trades (SEC Form 4), short interest, industry rankings, peer group…
Agent skill
Hpca Artifact Evaluation
by brycewang-stanford in brycewang-stanford/Awesome-Journal-Skills
A skill your agent uses when packaging an HPCA artifact for the voluntary post-acceptance evaluation on the separate AE HotCRP: scoping reproducibility tiers, preparing simulator- and silicon-heavy…
Install Hpca Artifact Evaluation
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill hpca-artifact-evaluation -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills hpca-artifact-evaluation --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/HPCA-Skills/skills/hpca-artifact-evaluation .claude/skills/hpca-artifact-evaluation && rm -rf skills-srcUse ~/.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/
Install the "hpca-artifact-evaluation" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/HPCA-Skills/skills/hpca-artifact-evaluation into .claude/skills/hpca-artifact-evaluation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hpca-artifact-evaluation", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/HPCA-Skills/skills/hpca-artifact-evaluationType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill hpca-artifact-evaluation -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills hpca-artifact-evaluation --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/HPCA-Skills/skills/hpca-artifact-evaluation .agents/skills/hpca-artifact-evaluation && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "hpca-artifact-evaluation" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/HPCA-Skills/skills/hpca-artifact-evaluation into .agents/skills/hpca-artifact-evaluation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hpca-artifact-evaluation", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill hpca-artifact-evaluation -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills hpca-artifact-evaluation --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/HPCA-Skills/skills/hpca-artifact-evaluation .cursor/skills/hpca-artifact-evaluation && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "hpca-artifact-evaluation" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/HPCA-Skills/skills/hpca-artifact-evaluation into .cursor/skills/hpca-artifact-evaluation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hpca-artifact-evaluation", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/brycewang-stanford/Awesome-Journal-Skills.git --path HPCA-Skills/skills/hpca-artifact-evaluation--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill hpca-artifact-evaluation -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills hpca-artifact-evaluation --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/HPCA-Skills/skills/hpca-artifact-evaluation .gemini/skills/hpca-artifact-evaluation && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "hpca-artifact-evaluation" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/HPCA-Skills/skills/hpca-artifact-evaluation into .gemini/skills/hpca-artifact-evaluation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hpca-artifact-evaluation", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills hpca-artifact-evaluationInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill hpca-artifact-evaluation -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/HPCA-Skills/skills/hpca-artifact-evaluation .github/skills/hpca-artifact-evaluation && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "hpca-artifact-evaluation" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/HPCA-Skills/skills/hpca-artifact-evaluation into .github/skills/hpca-artifact-evaluation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hpca-artifact-evaluation", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill hpca-artifact-evaluation -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills hpca-artifact-evaluation --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/HPCA-Skills/skills/hpca-artifact-evaluation .opencode/skills/hpca-artifact-evaluation && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "hpca-artifact-evaluation" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/HPCA-Skills/skills/hpca-artifact-evaluation into .opencode/skills/hpca-artifact-evaluation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hpca-artifact-evaluation", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
hpca-artifact-evaluation- GitHub stars
- 1.2k
- Token cost
- ~940 tokens
- SKILL.md length
- 384 words
- Files
- 1
- Skills in repo
- 2,387
- Repo updated
- First seen
- Licence
- MIT
At a glance
A skill your agent uses when packaging an HPCA artifact for the voluntary post-acceptance evaluation on the separate AE HotCRP: scoping reproducibility tiers, preparing simulator- and silicon-heavy…
- Packaging an HPCA artifact for the voluntary post-acceptance evaluation on the separate AE HotCRP: scoping reproducibility tiers
- SKILL.md covers Scope the reproducibility tiers, Package for a cold-start…, Budget the evaluator's… and Mirror ↔ release, plus 2 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- Preparing simulator- and silicon-heavy workflows for cold-start evaluators
What it does
Hpca Artifact Evaluation is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when packaging an HPCA artifact for the voluntary post-acceptance evaluation on the separate AE HotCRP: scoping reproducibility tiers, preparing simulator- and silicon-heavy workflows for cold-start evaluators, budgeting their wall-clock time, and earning IEEE reproducibility badges.
Its SKILL.md is about 940 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 Business, Finance & HR, covering Reproducible research and Budgeting and forecasting. 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
- Packaging an HPCA artifact for the voluntary post-acceptance evaluation on the separate AE HotCRP: scoping reproducibility tiers
- Preparing simulator- and silicon-heavy workflows for cold-start evaluators
- Budgeting their wall-clock time
- Earning IEEE reproducibility badges
Example prompts
- “/hpca-artifact-evaluation”
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
Hpca Artifact Evaluation loads about 940 tokens when it runs. Until then it costs about 78 tokens; SKILL.md has 384 words of instructions outside code blocks.
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). 384 words, ~940 tokens.
Download SKILL.mdSave it as
.claude/skills/hpca-artifact-evaluation/SKILL.md (or your agent's skills folder).- name
- hpca-artifact-evaluation
- description
- Use when packaging an HPCA artifact for the voluntary post-acceptance evaluation on the separate AE HotCRP: scoping reproducibility tiers, preparing simulator- and silicon-heavy workflows for cold-start evaluators, budgeting their wall-clock time, and earning IEEE reproducibility badges.
HPCA Artifact Evaluation
Use this to prepare an HPCA artifact for the badge round. HPCA's artifact evaluation
is voluntary, post-acceptance, and run on a separate HotCRP
(hpca<year>ae.hotcrp.com) under IEEE reproducibility badging — not the ACM
Artifact Review and Badging policy the ACM-touched siblings use. Package for the IEEE
pipeline and for an evaluator who has never seen your infrastructure.
Scope the reproducibility tiers
Not every claim can be reproduced cheaply. Decide, per headline result, what an evaluator can realistically achieve and say so:
- Full reproduction — the evaluator regenerates the headline numbers from source. The strongest badge target; reserve it for results whose pipeline you can shrink to fit an evaluator's budget.
- Regeneration from logs — the evaluator rebuilds figures from provided raw output when a full run is too long or needs licensed workloads.
- Inspection — the evaluator confirms the code implements the mechanism when hardware or license constraints block execution.
State each result's tier in the artifact README so evaluators are not surprised.
Package for a cold-start evaluator
The evaluator has no license to your workloads, no copy of your machine, and a fixed time budget. Design for that:
| Obstacle | What to ship |
|---|---|
| No workload license | Recipe + checksums, plus one free workload that runs the full pipeline |
| No access to your machine | Container/script that builds on a clean host; pinned dependencies |
| Long simulations | Reduced-input variants of the headline runs, with measured runtimes |
| Silicon-only results | Captured machine-state logs + an inspection path when re-running is impossible |
| Unclear entry point | A top-level run.sh that reproduces one headline figure end to end |
Show full SKILL.md (128 more words)Show less
Budget the evaluator's wall-clock
An artifact that "reproduces everything" in three days of compute will not be fully reproduced. Provide reduced-input variants of the headline experiments with stated per-step runtimes, so an evaluator can plan and finish inside the AE window. Put the expensive full runs behind a clearly labeled optional path.
Mirror ↔ release
The anonymized artifact mirror used during review becomes the de-anonymized public release at the badge round. De-anonymize deliberately: restore author names, add the real repository, and check that nothing was left blinded that should now be open — and nothing personal was left in that should not.
Packaging pass
1. Per-result tier declared (full / regeneration / inspection)
2. Cold-start build works on a clean host (container or script, pinned deps)
3. One free workload exercises the full pipeline end to end
4. Reduced-input variants with measured per-step runtimes provided
5. Licensed workloads reduced to recipe + checksums
6. run.sh reproduces one headline figure without hand-holding
7. De-anonymized for release; README states tiers and expected runtimesOutput format
[AE readiness] Ready / Needs work / Not ready
[Tiers] results with a declared tier / total
[Cold start] clean-host build passes? (Y/N)
[Budget] reduced variants + runtimes stated? (Y/N)
[Badge target] full-reproduction results / total
[Top gaps] <ordered>Reopen the current AE page for the badge set, the calendar, and the submission mechanics — the IEEE badge names and AE timeline are per-edition.
© 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 HPCA-Skills/skills/hpca-artifact-evaluation of brycewang-stanford/Awesome-Journal-Skills.
Open the folder on GitHubat commit 932eb23
Compare with similar skills
Hpca Artifact Evaluation 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Hpca Artifact Evaluation this skillbrycewang-stanford/Awesome-Journal-Skills | 1.2k | — | ~940 | Automated safety check: Pass | MIT | |
| Longbridge Researchhelsome/folio | 271 | 3 repos | ~2.1k | Automated safety check: Pass | MIT | |
| Bet SizingJoelLewis/finance_skills | 206 | — | ~2.5k | Automated safety check: Pass | MIT | |
| Cre Asset Managementahacker-1/cre-agent-skills | 113 | — | ~1.8k | Automated safety check: Pass | Apache-2.0 | |
| Dd LogsDataDog/pup | 1k | — | ~1.3k | Automated safety check: Pass | Apache-2.0 | |
| Cash Flow ForecastWellApp-ai/Well | 345 | — | ~567 | Automated safety check: Pass | MIT |
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Dd Logs
DataDog/pup
Log management - search, pipelines, archives, and cost control.
Cash Flow Forecast
WellApp-ai/Well
Forecast cash flow and runway for a Well workspace from booked invoices and collected bank transactions.
Cash Flow Snapshot
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Create a 30/60/90-day cash-flow forecast from AR, AP, opening cash, payment timing, and fixed-cost data.
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Categories
Questions about Hpca Artifact Evaluation
What does Hpca Artifact Evaluation do?
A skill your agent uses when packaging an HPCA artifact for the voluntary post-acceptance evaluation on the separate AE HotCRP: scoping reproducibility tiers, preparing simulator- and silicon-heavy…. Hpca Artifact Evaluation is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when packaging an HPCA artifact for the voluntary post-acceptance evaluation on the separate AE HotCRP: scoping reproducibility tiers, preparing simulator- and silicon-heavy workflows for cold-start evaluators, budgeting their wall-clock time, and earning IEEE reproducibility badges.
When should I use Hpca Artifact Evaluation?
Hpca Artifact Evaluation fits situations like: packaging an HPCA artifact for the voluntary post-acceptance evaluation on the separate AE HotCRP: scoping reproducibility tiers; preparing simulator- and silicon-heavy workflows for cold-start evaluators; budgeting their wall-clock time; earning IEEE reproducibility badges.
How do I install Hpca Artifact Evaluation in Claude Code?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill hpca-artifact-evaluation -a claude-code`. Or copy the skill folder (HPCA-Skills/skills/hpca-artifact-evaluation in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/hpca-artifact-evaluation in your project. Claude Code loads it when a task matches its description.
How do I install Hpca Artifact Evaluation in Codex?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill hpca-artifact-evaluation -a codex`. Or copy the skill folder (HPCA-Skills/skills/hpca-artifact-evaluation in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/hpca-artifact-evaluation in your project. Codex loads it when a task matches its description.
Can I use Hpca Artifact Evaluation 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 hpca-artifact-evaluation -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/hpca-artifact-evaluation, .gemini/skills/hpca-artifact-evaluation, .github/skills/hpca-artifact-evaluation and .opencode/skills/hpca-artifact-evaluation in your project.
What does Hpca Artifact Evaluation need to run?
SKILL.md names no scripts, command-line tools or credentials: Hpca Artifact Evaluation is instructions for the agent only.
Does Hpca Artifact Evaluation 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 Hpca Artifact Evaluation 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 Hpca Artifact Evaluation use?
Hpca Artifact Evaluation 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 Hpca Artifact Evaluation use?
About 940 tokens (SKILL.md is roughly 3.8k 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 Hpca Artifact Evaluation?
Skills that share tags, products or a category with Hpca Artifact Evaluation: Longbridge Research (helsome/folio, 271 stars), Bet Sizing (JoelLewis/finance_skills, 206 stars), Cre Asset Management (ahacker-1/cre-agent-skills, 113 stars) and Dd Logs (DataDog/pup, 1k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Hpca Artifact Evaluation?
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.