TransformerLens Interpretability
Orchestra-Research/AI-Research-SKILLs
Guides mechanistic interpretability work with TransformerLens: loading models, caching activations, using HookPoints, activation patching and attention-pattern analysis.
A skill your agent uses when interpreting where a POPL submission stands — the full double-blind pipeline from the July HotCRP deadline through reviews, the optional author response, October…
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill popl-review-process -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills popl-review-process --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/POPL-Skills/skills/popl-review-process .claude/skills/popl-review-process && 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 "popl-review-process" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/POPL-Skills/skills/popl-review-process into .claude/skills/popl-review-process/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "popl-review-process", 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/POPL-Skills/skills/popl-review-processType 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 popl-review-process -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills popl-review-process --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/POPL-Skills/skills/popl-review-process .agents/skills/popl-review-process && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "popl-review-process" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/POPL-Skills/skills/popl-review-process into .agents/skills/popl-review-process/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "popl-review-process", 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 popl-review-process -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills popl-review-process --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/POPL-Skills/skills/popl-review-process .cursor/skills/popl-review-process && 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 "popl-review-process" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/POPL-Skills/skills/popl-review-process into .cursor/skills/popl-review-process/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "popl-review-process", 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 POPL-Skills/skills/popl-review-process--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 popl-review-process -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills popl-review-process --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/POPL-Skills/skills/popl-review-process .gemini/skills/popl-review-process && 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 "popl-review-process" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/POPL-Skills/skills/popl-review-process into .gemini/skills/popl-review-process/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "popl-review-process", 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 popl-review-processInstalls 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 popl-review-process -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/POPL-Skills/skills/popl-review-process .github/skills/popl-review-process && 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 "popl-review-process" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/POPL-Skills/skills/popl-review-process into .github/skills/popl-review-process/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "popl-review-process", 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 popl-review-process -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 popl-review-process --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/POPL-Skills/skills/popl-review-process .opencode/skills/popl-review-process && 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 "popl-review-process" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/POPL-Skills/skills/popl-review-process into .opencode/skills/popl-review-process/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "popl-review-process", 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.
popl-review-processA skill your agent uses when interpreting where a POPL submission stands — the full double-blind pipeline from the July HotCRP deadline through reviews, the optional author response, October…
Popl Review Process is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when interpreting where a POPL submission stands — the full double-blind pipeline from the July HotCRP deadline through reviews, the optional author response, October conditional-acceptance decisions, the mandatory revision gate, Distinguished Paper selection, and publication as PACMPL Issue POPL in January.
Its SKILL.md is about 900 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.
Read from SKILL.md and the folder at commit 932eb23. It shows what the files ask for, not the result of running them.
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.
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.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Popl Review Process loads about 900 tokens when it runs. Until then it costs about 83 tokens; SKILL.md has 404 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.
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.
The full file from brycewang-stanford/Awesome-Journal-Skills at commit 932eb23, republished under its MIT licence (© brycewang-stanford). 404 words, ~900 tokens.
.claude/skills/popl-review-process/SKILL.md (or your agent's skills folder).POPL's pipeline is a conference cycle that ends in a journal issue. The shape below is the POPL 2027 process as posted (read 2026-07-08 via search renderings; author response window and revision deadline were not fully rendered — 待核实).
| Stage | POPL 2027 anchor | What is actually being decided |
|---|---|---|
| Submission | July 9, 2026 AoE, popl27.hotcrp.com, no abstract deadline | Format compliance (summary rejection is real) and reviewer assignment |
| Reviewing | full double-blind, as in POPL 2023-2026 | Correctness plausibility, novelty of the formal idea, significance to PL principles |
| Author response | optional, multi-day, concise | Whether standing objections survive your best factual answer |
| Decision | notification October 5, 2026 | Reject vs conditional acceptance — no unconditional accept exists |
| Revision gate | deadline set by the committee (待核实 for 2027) | Whether the revision satisfies the committee's stated conditions; failure risks rejection |
| Publication | PACMPL Issue POPL (Vol 10 = 2026, published Jan 8, 2026) | Journal article, presented at the January symposium (2027: Mexico City, Jan 10-16) |
Conditional acceptance arrives with explicit conditions — typically clarifications,
scoping of overclaims, or presentation surgery. Treat the condition list as a
contract: the Review Committee re-checks each item, and the call states the revision
must be satisfactory "or risk rejection." Rejection reviews, in turn, sort into
fix-and-resubmit (misread contribution, presentation collapse) versus fundamental
(the theorem is true but nobody at this venue needs it) — popl-topic-selection
handles the second kind.
Distinguished Papers are capped at 10% of acceptances, chosen by the committee for relevance, originality, significance, and clarity (POPL 2026 call wording); at least one 2026 award is publicly attested. It is not something authors apply for.
[Stage] pre-submission / under review / response window / awaiting decision / revision gate / production
[Next event] <date + source URL, or 待核实>
[Live risks] <correctness doubt / significance doubt / condition list items>
[Recommended posture] <what to prepare now for the next stage>© 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
Just SKILL.md in POPL-Skills/skills/popl-review-process of brycewang-stanford/Awesome-Journal-Skills.
Open the folder on GitHubat commit 932eb23
Popl Review Process 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 |
|---|---|---|---|---|---|---|
| Popl Review Process this skillbrycewang-stanford/Awesome-Journal-Skills | 1.2k | — | ~900 | Automated safety check: Pass | MIT | |
| TransformerLens InterpretabilityOrchestra-Research/AI-Research-SKILLs | 13k | 3 repos | ~3k | Automated safety check: Pass | MIT | |
| Nnsight Remote InterpretabilityOrchestra-Research/AI-Research-SKILLs | 13k | 2 repos | ~3.3k | Automated safety check: Pass | MIT | |
| Paper Interpretationdigoal/blog | 8.6k | — | ~1.5k | Automated safety check: Pass | GPL-2.0 | |
| Implementing Zero Standing Privilege With Cyberarkmukul975/Anthropic-Cybersecurity-Skills | 34k | — | ~2.3k | Automated safety check: Pass | Apache-2.0 | |
| Interpret Resultsbrycewang-stanford/Auto-Empirical-Research-Skills | 4.6k | — | ~620 | Automated safety check: Notes | Custom licence |
Orchestra-Research/AI-Research-SKILLs
Guides mechanistic interpretability work with TransformerLens: loading models, caching activations, using HookPoints, activation patching and attention-pattern analysis.
Orchestra-Research/AI-Research-SKILLs
Provides guidance for interpreting and manipulating neural network internals using nnsight with optional NDIF remote execution.
digoal/blog
从论文 PDF 文件或论文 PDF URL 生成通俗易懂、图文并茂、带批判性评估的中文 Markdown 解读,并保存到当前项目的 markdown 目录。Use when the user asks to interpret,精读,解读,summarize,explain,analyze, or write an article from an academic paper PDF…
mukul975/Anthropic-Cybersecurity-Skills
Deploy CyberArk Secure Cloud Access (SCA) to eliminate standing privileges in AWS, Azure, and GCP by provisioning ephemeral, scoped roles on a just-in-time basis governed by the TEA framework (Time…
brycewang-stanford/Auto-Empirical-Research-Skills
Writes academic prose interpreting regression output. An agent skill from brycewang-stanford/Auto-Empirical-Research-Skills.
trailofbits/skills
Interprets Culture Index surveys and behavioral profiles, from single-person readings to team composition, burnout risk, hiring profiles and interview analysis.
brycewang-stanford/Awesome-Journal-Skills
A skill your agent uses when running and reporting the analysis for an Annals of the American Association of Geographers manuscript — spatial statistics and modeling, remote-sensing accuracy, or…
brycewang-stanford/Awesome-Journal-Skills
A skill your agent uses when positioning an Annals of the American Association of Geographers manuscript in the literature — engaging geographic scholarship across the relevant area and the…
brycewang-stanford/Awesome-Journal-Skills
A skill your agent uses when responding to an Annals of the American Association of Geographers decision letter (major/minor revision) — building a point-by-point response to the subject editor and…
brycewang-stanford/Awesome-Journal-Skills
A skill your agent uses when defending the research design of an Annals of the American Association of Geographers manuscript — spatial/quantitative analysis and GIScience, remote-sensing and…
brycewang-stanford/Awesome-Journal-Skills
A skill your agent uses when you need to understand how the Annals of the American Association of Geographers evaluates a manuscript — double-anonymous review routed through a subject editor by…
brycewang-stanford/Awesome-Journal-Skills
A skill your agent uses when running the final pre-submission preflight for the Annals of the American Association of Geographers via ScholarOne Manuscripts — area/article-type selection…
A skill your agent uses when interpreting where a POPL submission stands — the full double-blind pipeline from the July HotCRP deadline through reviews, the optional author response, October…. Popl Review Process is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when interpreting where a POPL submission stands — the full double-blind pipeline from the July HotCRP deadline through reviews, the optional author response, October conditional-acceptance decisions, the mandatory revision gate, Distinguished Paper selection, and publication as PACMPL Issue POPL in January.
Popl Review Process fits situations like: interpreting where a POPL submission stands — the full double-blind pipeline from the July HotCRP deadline through reviews; the optional author response; october conditional-acceptance decisions; the mandatory revision gate.
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill popl-review-process -a claude-code`. Or copy the skill folder (POPL-Skills/skills/popl-review-process in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/popl-review-process in your project. Claude Code loads it when a task matches its description.
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill popl-review-process -a codex`. Or copy the skill folder (POPL-Skills/skills/popl-review-process in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/popl-review-process in your project. Codex loads it when a task matches its description.
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 popl-review-process -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/popl-review-process, .gemini/skills/popl-review-process, .github/skills/popl-review-process and .opencode/skills/popl-review-process in your project.
SKILL.md names no scripts, command-line tools or credentials: Popl Review Process is instructions for the agent only.
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.
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.
Popl Review Process is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 900 tokens (SKILL.md is roughly 3.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Popl Review Process: TransformerLens Interpretability (Orchestra-Research/AI-Research-SKILLs, 13k stars), Nnsight Remote Interpretability (Orchestra-Research/AI-Research-SKILLs, 13k stars), Paper Interpretation (digoal/blog, 8.6k stars) and Implementing Zero Standing Privilege With Cyberark (mukul975/Anthropic-Cybersecurity-Skills, 34k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
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.