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Agent skill
Mobicom Artifact Evaluation
by brycewang-stanford in brycewang-stanford/Awesome-Journal-Skills
A skill your agent uses when packaging a MobiCom artifact for the evaluation committee — choosing among the three ACM badges as a calibration of what you can prove, building a hardware-optional…
Install Mobicom Artifact Evaluation
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill mobicom-artifact-evaluation -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills mobicom-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/MobiCom-Skills/skills/mobicom-artifact-evaluation .claude/skills/mobicom-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 "mobicom-artifact-evaluation" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/MobiCom-Skills/skills/mobicom-artifact-evaluation into .claude/skills/mobicom-artifact-evaluation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mobicom-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/MobiCom-Skills/skills/mobicom-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 mobicom-artifact-evaluation -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills mobicom-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/MobiCom-Skills/skills/mobicom-artifact-evaluation .agents/skills/mobicom-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 "mobicom-artifact-evaluation" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/MobiCom-Skills/skills/mobicom-artifact-evaluation into .agents/skills/mobicom-artifact-evaluation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mobicom-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 mobicom-artifact-evaluation -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills mobicom-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/MobiCom-Skills/skills/mobicom-artifact-evaluation .cursor/skills/mobicom-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 "mobicom-artifact-evaluation" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/MobiCom-Skills/skills/mobicom-artifact-evaluation into .cursor/skills/mobicom-artifact-evaluation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mobicom-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 MobiCom-Skills/skills/mobicom-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 mobicom-artifact-evaluation -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills mobicom-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/MobiCom-Skills/skills/mobicom-artifact-evaluation .gemini/skills/mobicom-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 "mobicom-artifact-evaluation" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/MobiCom-Skills/skills/mobicom-artifact-evaluation into .gemini/skills/mobicom-artifact-evaluation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mobicom-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 mobicom-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 mobicom-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/MobiCom-Skills/skills/mobicom-artifact-evaluation .github/skills/mobicom-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 "mobicom-artifact-evaluation" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/MobiCom-Skills/skills/mobicom-artifact-evaluation into .github/skills/mobicom-artifact-evaluation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mobicom-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 mobicom-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 mobicom-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/MobiCom-Skills/skills/mobicom-artifact-evaluation .opencode/skills/mobicom-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 "mobicom-artifact-evaluation" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/MobiCom-Skills/skills/mobicom-artifact-evaluation into .opencode/skills/mobicom-artifact-evaluation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mobicom-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
mobicom-artifact-evaluation- GitHub stars
- 1.2k
- Token cost
- ~1.2k tokens
- SKILL.md length
- 489 words
- Files
- 1
- Skills in repo
- 2,387
- Repo updated
- First seen
- Licence
- MIT
At a glance
A skill your agent uses when packaging a MobiCom artifact for the evaluation committee — choosing among the three ACM badges as a calibration of what you can prove, building a hardware-optional…
- Packaging a MobiCom artifact for the evaluation committee — choosing among the three ACM badges as a calibration of what you can prove
- SKILL.md covers Choose badges as a claim of…, The hardware-optional path is…, Make availability real and Document variance honestly, plus 2 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- Building a hardware-optional reproduction path for evaluators without radios
What it does
Mobicom Artifact Evaluation is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when packaging a MobiCom artifact for the evaluation committee — choosing among the three ACM badges as a calibration of what you can prove, building a hardware-optional reproduction path for evaluators without radios, writing the smoke run that establishes functionality, and making code, data, and traces available.
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.
It sits in Business, Finance & HR, covering Performance reviews. 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 a MobiCom artifact for the evaluation committee — choosing among the three ACM badges as a calibration of what you can prove
- Building a hardware-optional reproduction path for evaluators without radios
- Writing the smoke run that establishes functionality
- Traces available
Example prompts
- “/mobicom-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
Mobicom Artifact Evaluation loads about 1.2k tokens when it runs. Until then it costs about 87 tokens; SKILL.md has 489 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). 489 words, ~1,177 tokens.
Download SKILL.mdSave it as
.claude/skills/mobicom-artifact-evaluation/SKILL.md (or your agent's skills folder).- name
- mobicom-artifact-evaluation
- description
- Use when packaging a MobiCom artifact for the evaluation committee — choosing among the three ACM badges as a calibration of what you can prove, building a hardware-optional reproduction path for evaluators without radios, writing the smoke run that establishes functionality, and making code, data, and traces available.
MobiCom Artifact Evaluation
MobiCom accepted papers may earn the three ACM badges — Artifacts Available, Artifacts Evaluated — Functional, and Results Reproduced — from a separate artifact-evaluation committee (AEC). The badges are independent: you may pursue one, some, or all. The engineering problem specific to MobiCom is that the evaluation depends on a radio testbed the AEC does not have, so the packaging must let an evaluator get as far as possible without one.
Choose badges as a claim of what you can prove
| Badge | What it asserts | What the AEC needs |
|---|---|---|
| Artifacts Available | the artifact is publicly and permanently retrievable | a stable public archive (DOI-backed) |
| Artifacts Evaluated — Functional | the artifact runs and does what the paper describes | a working build + smoke run on reachable hardware |
| Results Reproduced | the paper's key results regenerate | a path from artifact to the headline numbers |
Pick badges honestly. Available is almost always worth claiming and is the lowest-friction.
Functional requires a path that runs without your specific radios. Results Reproduced is
hardest for a wireless paper because the channel is not portable — claim it only where a
trace-replay or downscaled path can regenerate the numbers (mobicom-reproducibility). The
exact 2027 badge deadlines and process are 待核实 — read the current artifact call.
The hardware-optional path is the core deliverable
Most AEC members will not have your SDRs, tags, or testbed. Design the package so a reviewer without hardware still reaches Functional:
artifact/
README # claims, badge targets, hardware needed vs optional, time budget
env/ # container or pinned deps; no radio required to build
smoke/ # runs in ~minutes on a laptop, no radio; proves the pipeline
replay/ # recorded captures + decode/analysis -> regenerates key figures
hardware/ # optional: scripts + exact radio/firmware to reproduce on a testbed
data/ # traces that can legally ship (or a loader + instructions)
expected/ # expected outputs AND expected variance ranges- The smoke run is the functionality proof: a short, laptop-only command that exercises the pipeline end-to-end on bundled data and prints a recognizable result.
- The replay path feeds recorded captures through the same processing that produced the paper's figures, so results regenerate without the radio.
- The hardware path is documented for the rare evaluator (or future reader) with a matching testbed, with exact radio model, firmware, and channel setup.
Show full SKILL.md (188 more words)Show less
Make availability real
- Deposit in a permanent, DOI-backed archive, not a personal URL that rots.
- Confirm what can legally ship: firmware and proprietary radio stacks often cannot;
user-identifiable captures must be stripped or aggregated; site data may be bound by an
agreement (
mobicom-reproducibility). - If part of the artifact cannot be released, say so explicitly and ship the largest functional subset rather than a broken whole.
Document variance honestly
An over-the-air result differs run to run. Ship expected-variance files alongside expected outputs so a rerun that lands within a stated margin reads as a reproduction, not a failure. An AEC member who sees a number move and has no variance guidance will log it as a non-reproduction.
Pre-submission checklist
- Badge targets chosen to match what the package can actually prove.
- Smoke run works on a clean laptop with no radio, in a stated time budget.
- Replay path regenerates the key figures from bundled captures.
- Hardware path documents exact radio/firmware/channel for testbed reproduction.
- Available artifact is in a permanent DOI-backed archive.
- Legal/ethical shipping decision made for firmware, traces, and site data.
- Expected outputs and expected variance both provided.
Output format
[Badges] targeted vs justified by the package
[Smoke] laptop-only run present + time budget
[Replay] key figures regenerate without hardware? y/n
[Hardware path] radio/firmware/channel documented? y/n
[Availability] archive + DOI + legal-shipping decision
[Gaps] what blocks each targeted badge© 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 MobiCom-Skills/skills/mobicom-artifact-evaluation of brycewang-stanford/Awesome-Journal-Skills.
Open the folder on GitHubat commit 932eb23
Compare with similar skills
Mobicom 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 |
|---|---|---|---|---|---|---|
| Mobicom Artifact Evaluation this skillbrycewang-stanford/Awesome-Journal-Skills | 1.2k | — | ~1.2k | Automated safety check: Pass | MIT | |
| Wp Performance Reviewelvismdev/claude-wordpress-skills | 235 | 1 repos | ~4.5k | Automated safety check: Pass | MIT | |
| Align Humanagentscope-ai/OpenJudge | 871 | — | ~3.1k | Automated safety check: Pass | Apache-2.0 | |
| Run Mv Hoi Reconstructionnvidia-isaac/video_to_data | 861 | — | ~1.5k | Automated safety check: Pass | Custom licence | |
| Company Analysiszhu1090093659/dsh-trading | 238 | — | ~4.2k | Automated safety check: Pass | Custom licence | |
| Windbg Diagnostic Methodmicrosoft/win-dev-skills | 466 | — | ~1.9k | Automated safety check: Pass | MIT |
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Categories
Questions about Mobicom Artifact Evaluation
What does Mobicom Artifact Evaluation do?
A skill your agent uses when packaging a MobiCom artifact for the evaluation committee — choosing among the three ACM badges as a calibration of what you can prove, building a hardware-optional…. Mobicom Artifact Evaluation is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when packaging a MobiCom artifact for the evaluation committee — choosing among the three ACM badges as a calibration of what you can prove, building a hardware-optional reproduction path for evaluators without radios, writing the smoke run that establishes functionality, and making code, data, and traces available.
When should I use Mobicom Artifact Evaluation?
Mobicom Artifact Evaluation fits situations like: packaging a MobiCom artifact for the evaluation committee — choosing among the three ACM badges as a calibration of what you can prove; building a hardware-optional reproduction path for evaluators without radios; writing the smoke run that establishes functionality; traces available.
How do I install Mobicom Artifact Evaluation in Claude Code?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill mobicom-artifact-evaluation -a claude-code`. Or copy the skill folder (MobiCom-Skills/skills/mobicom-artifact-evaluation in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/mobicom-artifact-evaluation in your project. Claude Code loads it when a task matches its description.
How do I install Mobicom Artifact Evaluation in Codex?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill mobicom-artifact-evaluation -a codex`. Or copy the skill folder (MobiCom-Skills/skills/mobicom-artifact-evaluation in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/mobicom-artifact-evaluation in your project. Codex loads it when a task matches its description.
Can I use Mobicom 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 mobicom-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/mobicom-artifact-evaluation, .gemini/skills/mobicom-artifact-evaluation, .github/skills/mobicom-artifact-evaluation and .opencode/skills/mobicom-artifact-evaluation in your project.
What does Mobicom Artifact Evaluation need to run?
SKILL.md names no scripts, command-line tools or credentials: Mobicom Artifact Evaluation is instructions for the agent only.
Does Mobicom 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 Mobicom 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 Mobicom Artifact Evaluation use?
Mobicom 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 Mobicom Artifact Evaluation 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 Mobicom Artifact Evaluation?
Skills that share tags, products or a category with Mobicom Artifact Evaluation: Wp Performance Review (elvismdev/claude-wordpress-skills, 235 stars), Align Human (agentscope-ai/OpenJudge, 871 stars), Run Mv Hoi Reconstruction (nvidia-isaac/video_to_data, 861 stars) and Company Analysis (zhu1090093659/dsh-trading, 238 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Mobicom 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.