Cookie Consent
thedaviddias/Front-End-Checklist
A skill your agent uses when reviewing a website for GDPR/CCPA compliance, specifically whether cookie consent is obtained before non-essential cookies are set.
Reconstruct a complete consent-ready FeedbackSubmission from the entire current SolidWorks task, including corrected build instructions, every final code artifact, reproducible errors and fixes…
Apache-2.0Auto-check passed
Install Sw Learner
$ npx skills add hashgraph-online/awesome-codex-plugins --skill sw-learner -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install hashgraph-online/awesome-codex-plugins sw-learner --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/hashgraph-online/awesome-codex-plugins.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/Erfouni/solidworks-GPT-plugin/plugins/solidworks-gpt-plugin/skills/sw-learner .claude/skills/sw-learner && 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 "sw-learner" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/Erfouni/solidworks-GPT-plugin/plugins/solidworks-gpt-plugin/skills/sw-learner into .claude/skills/sw-learner/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sw-learner", 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/hashgraph-online/awesome-codex-plugins/tree/main/plugins/Erfouni/solidworks-GPT-plugin/plugins/solidworks-gpt-plugin/skills/sw-learnerType 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 hashgraph-online/awesome-codex-plugins --skill sw-learner -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install hashgraph-online/awesome-codex-plugins sw-learner --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/hashgraph-online/awesome-codex-plugins.git skills-src && mkdir -p .agents/skills && cp -r skills-src/plugins/Erfouni/solidworks-GPT-plugin/plugins/solidworks-gpt-plugin/skills/sw-learner .agents/skills/sw-learner && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "sw-learner" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/Erfouni/solidworks-GPT-plugin/plugins/solidworks-gpt-plugin/skills/sw-learner into .agents/skills/sw-learner/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sw-learner", 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 hashgraph-online/awesome-codex-plugins --skill sw-learner -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install hashgraph-online/awesome-codex-plugins sw-learner --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/hashgraph-online/awesome-codex-plugins.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/plugins/Erfouni/solidworks-GPT-plugin/plugins/solidworks-gpt-plugin/skills/sw-learner .cursor/skills/sw-learner && 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 "sw-learner" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/Erfouni/solidworks-GPT-plugin/plugins/solidworks-gpt-plugin/skills/sw-learner into .cursor/skills/sw-learner/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sw-learner", 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/hashgraph-online/awesome-codex-plugins.git --path plugins/Erfouni/solidworks-GPT-plugin/plugins/solidworks-gpt-plugin/skills/sw-learner--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 hashgraph-online/awesome-codex-plugins --skill sw-learner -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install hashgraph-online/awesome-codex-plugins sw-learner --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/hashgraph-online/awesome-codex-plugins.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/plugins/Erfouni/solidworks-GPT-plugin/plugins/solidworks-gpt-plugin/skills/sw-learner .gemini/skills/sw-learner && 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 "sw-learner" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/Erfouni/solidworks-GPT-plugin/plugins/solidworks-gpt-plugin/skills/sw-learner into .gemini/skills/sw-learner/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sw-learner", 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 hashgraph-online/awesome-codex-plugins sw-learnerInstalls 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 hashgraph-online/awesome-codex-plugins --skill sw-learner -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/hashgraph-online/awesome-codex-plugins.git skills-src && mkdir -p .github/skills && cp -r skills-src/plugins/Erfouni/solidworks-GPT-plugin/plugins/solidworks-gpt-plugin/skills/sw-learner .github/skills/sw-learner && 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 "sw-learner" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/Erfouni/solidworks-GPT-plugin/plugins/solidworks-gpt-plugin/skills/sw-learner into .github/skills/sw-learner/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sw-learner", 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 hashgraph-online/awesome-codex-plugins --skill sw-learner -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install hashgraph-online/awesome-codex-plugins sw-learner --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/hashgraph-online/awesome-codex-plugins.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/plugins/Erfouni/solidworks-GPT-plugin/plugins/solidworks-gpt-plugin/skills/sw-learner .opencode/skills/sw-learner && 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 "sw-learner" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/Erfouni/solidworks-GPT-plugin/plugins/solidworks-gpt-plugin/skills/sw-learner into .opencode/skills/sw-learner/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sw-learner", 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
sw-learner- GitHub stars
- 1.2k
- Token cost
- ~1.3k tokens
- SKILL.md length
- 651 words
- Files
- 2
- Skills in repo
- 736
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
Reconstruct a complete consent-ready FeedbackSubmission from the entire current SolidWorks task, including corrected build instructions, every final code artifact, reproducible errors and fixes…
- Works in 5 steps: Confirm relevance and session → Resolve the part → Collect eligible images → …
- Non-SolidWorks conversations
- SKILL.md covers 1. Confirm relevance and session, 2. Resolve the part, 3. Collect eligible images and 4. Build FeedbackSubmission, plus 1 more section
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Sw Learner is an agent skill from hashgraph-online/awesome-codex-plugins. Reconstruct a complete consent-ready FeedbackSubmission from the entire current SolidWorks task, including corrected build instructions, every final code artifact, reproducible errors and fixes, lessons, and eligible images. Use throughout SolidWorks work for tracking and invoke at the end through sw-session-reporter; do not use for non-SolidWorks conversations.
Its SKILL.md is about 1.3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `agents/openai.yaml`).
The repository describes itself as: A curated list of awesome OpenAI Codex / ChatGPT plugins, skills, and resources. The 1 Codex Marketplace. See live plugins at: https://hol.org/plugins/best-codex-plugins. The licence is Apache-2.0.
When your agent uses it
- Non-SolidWorks conversations
Example prompts
- “/sw-learner”
Requirements
- Python 3
Workflow steps
5 steps, taken from the step headings in SKILL.md.
What it can do on your machine
Read from SKILL.md and the folder at commit 16b4156. 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
Sw Learner loads about 1.3k tokens when it runs. Until then it costs about 94 tokens; SKILL.md has 651 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 hashgraph-online/awesome-codex-plugins at commit 16b4156, republished under its Apache-2.0 licence (© hashgraph-online). 651 words, ~1,306 tokens.
Download SKILL.mdSave it as
.claude/skills/sw-learner/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.- name
- sw-learner
- description
- Reconstruct a complete consent-ready FeedbackSubmission from the entire current SolidWorks task, including corrected build instructions, every final code artifact, reproducible errors and fixes, lessons, and eligible images. Use throughout SolidWorks work for tracking and invoke at the end through sw-session-reporter; do not use for non-SolidWorks conversations.
SolidWorks Learner
Track the session from the first SolidWorks message. When invoked, reread the entire Codex task and rebuild the complete current payload, not a delta. Keep only corrected final versions.
Never show the raw payload, base64 images, or full submission JSON to the user.
1. Confirm relevance and session
If no SolidWorks modeling, API calls, CAD code, design decisions, or debugging occurred, return an internal skip result and stop.
Read .sw-learner-state.json in the CAD working directory and require a
non-empty fixed sessionId. If it is missing, resolve the plugin root and run
scripts/sw_session.py start once, then keep that UUID for the rest of the
task.
2. Resolve the part
Use quoted curl and the configured SW_KB_HOST default to query:
GET /api/parts?q={encoded-part-identifier}&pageSize=20Record the best exact or close partId; use null when none exists. Preserve
the known partNumber.
On Windows, run curl.exe instead of curl: in Windows PowerShell 5.1
curl is an alias for Invoke-WebRequest, which rejects curl options such
as -sS. curl.exe is the real curl in every Windows shell.
3. Collect eligible images
Find images referenced by generated code (SaveBMP, ExportBMP, SaveAs, or
paths ending in .png, .jpg, .jpeg, .bmp, .tiff, .tif, .gif) and
images actually shown in the task. Include only existing readable files under
10 MB. Deduplicate by filename and encode bytes as base64.
Use MIME types image/png, image/jpeg, image/bmp, image/tiff, or
image/gif. Convert Windows paths to accessible host paths when working through
WSL.
4. Build FeedbackSubmission
Follow ../../schemas/feedback-submission.schema.json. Always include:
issues: a two-to-five sentence narrative of what was built, the approach, mistakes fixed, validation, and final state;sessionId: the fixed ID for this Codex task;partId: the matched UUID ornullwhen useful.
Add arrays only when they contain at least one item. Omit empty arrays entirely.
Classification hints
You know what you were asked to build. The reviewer sees only the resulting code and renders, and has to work backwards from them. Pass that knowledge forward so they confirm rather than deduce:
suggestedCategory: an exact categorynamefromGET {SW_KB_HOST}/api/categories. Fetch the list; never invent a name. Use"Uncategorised"when nothing fits — reviewers create categories, agents do not.suggestedPartName: short descriptive name including the defining dimension, e.g."Cardan yoke, 30mm bore".suggestedPartNumber: the part number when the user gave one or the catalog lookup in step 3 matched. Omit it rather than invent one — a fabricated part number is worse than none.
All three are optional; omit any you cannot infer, and never send an empty
string. They are advisory: nothing is published on their strength, and partId
is still set only by an explicit reviewer action, so a wrong guess costs nothing.
Show full SKILL.md (214 more words)Show less
Instructions
Include exact ordered build steps with the SolidWorks version, material, final feature order, real parameter values, API calls, validation, and exports. Skip generic steps that add no reusable knowledge.
Macros
Include every code artifact written in the task: Python, VBA, or SWAPI. Store
the full verbatim final working source, never a summary or truncated excerpt.
Required macro fields are name, language, and code. Add description,
swFeaturesUsed, parameters, template flag, version, and part ID when known.
Known errors
Include only concrete failures with the exact return value or error, affected SolidWorks method, and a resolution that actually worked. Exclude typos, immediately-fixed syntax mistakes, vague symptoms, and non-SolidWorks issues.
Use severity critical for total failure, high for plausible but wrong
output, medium for a caught and repaired failure, and low for minor
inconvenience.
Lessons
Include non-obvious lessons demonstrated in this task, from successes and
failures. Every lesson needs category, title, whatHappened, rootCause,
prevention, and severity. Make prevention a concrete rule, never merely
be careful.
5. Validate and persist privately
Write the payload to .sw-feedback-payload.json in the CAD working directory
only when persistence is needed across the consent turn. Ensure it is ignored
by version control. Validate it with:
python <plugin-root>/scripts/validate_feedback.py .sw-feedback-payload.json
python <plugin-root>/scripts/sw_session.py mark-payload --part-id <uuid-or-null> --part-number <value>Increment payloadVersion on every rebuild. Replace earlier payload content;
do not accumulate stale or broken code versions.
© hashgraph-online, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 1 other file in plugins/Erfouni/solidworks-GPT-plugin/plugins/solidworks-gpt-plugin/skills/sw-learner of hashgraph-online/awesome-codex-plugins.
- SKILL.md
- agents/openai.yaml
Open the folder on GitHubat commit 16b4156
Compare with similar skills
Sw Learner 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 |
|---|---|---|---|---|---|---|
| Sw Learner this skillhashgraph-online/awesome-codex-plugins | 1.2k | — | ~1.3k | Automated safety check: Pass | Apache-2.0 | |
| Cookie Consentthedaviddias/Front-End-Checklist | 74k | — | ~637 | Automated safety check: Pass | MIT | |
| Consent Modethedaviddias/Front-End-Checklist | 74k | — | ~425 | Automated safety check: Pass | MIT | |
| Written Consentanthropics/claude-for-legal | 9.6k | 2 repos | ~5.1k | Automated safety check: Pass | Apache-2.0 | |
| Detecting Suspicious OAuth Application Consentmukul975/Anthropic-Cybersecurity-Skills | 34k | — | ~605 | Automated safety check: Pass | Apache-2.0 | |
| Consent Registryaaron-he-zhu/aaron-marketing-skills | 2.9k | 2 repos | ~2k | Automated safety check: Pass | Apache-2.0 |
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Questions about Sw Learner
What does Sw Learner do?
Reconstruct a complete consent-ready FeedbackSubmission from the entire current SolidWorks task, including corrected build instructions, every final code artifact, reproducible errors and fixes…. Sw Learner is an agent skill from hashgraph-online/awesome-codex-plugins. Reconstruct a complete consent-ready FeedbackSubmission from the entire current SolidWorks task, including corrected build instructions, every final code artifact, reproducible errors and fixes, lessons, and eligible images.
When should I use Sw Learner?
Sw Learner fits situations like: non-SolidWorks conversations.
How do I install Sw Learner in Claude Code?
Run `npx skills add hashgraph-online/awesome-codex-plugins --skill sw-learner -a claude-code`. Or copy the skill folder (plugins/Erfouni/solidworks-GPT-plugin/plugins/solidworks-gpt-plugin/skills/sw-learner in hashgraph-online/awesome-codex-plugins) into .claude/skills/sw-learner in your project. Claude Code loads it when a task matches its description.
How do I install Sw Learner in Codex?
Run `npx skills add hashgraph-online/awesome-codex-plugins --skill sw-learner -a codex`. Or copy the skill folder (plugins/Erfouni/solidworks-GPT-plugin/plugins/solidworks-gpt-plugin/skills/sw-learner in hashgraph-online/awesome-codex-plugins) into .agents/skills/sw-learner in your project. Codex loads it when a task matches its description.
Can I use Sw Learner 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 hashgraph-online/awesome-codex-plugins --skill sw-learner -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/sw-learner, .gemini/skills/sw-learner, .github/skills/sw-learner and .opencode/skills/sw-learner in your project.
What does Sw Learner need to run?
SKILL.md names no scripts, command-line tools or credentials: Sw Learner is instructions for the agent only. Our summary lists: Python 3.
Does Sw Learner 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 Sw Learner 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 Sw Learner use?
Sw Learner is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Sw Learner use?
About 1.3k tokens (SKILL.md is roughly 5.2k 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 Sw Learner?
Skills that share tags, products or a category with Sw Learner: Cookie Consent (thedaviddias/Front-End-Checklist, 74k stars), Consent Mode (thedaviddias/Front-End-Checklist, 74k stars), Written Consent (anthropics/claude-for-legal, 9.6k stars) and Detecting Suspicious OAuth Application Consent (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.
Who maintains Sw Learner?
hashgraph-online (a GitHub organization) maintains it in hashgraph-online/awesome-codex-plugins, which has 1,232 GitHub stars. The repository holds 736 skills in this directory. The repository was last updated on October 6, 2026.
Source: hashgraph-online/awesome-codex-plugins on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.