Inline Plan Execution
jnMetaCode/superpowers-zh
Executes a written implementation plan task by task in the current session, with a progress ledger, test-first gates and one fresh-context review at the end.
A skill your agent uses when executing an implementation plan linearly with explicit human checkpoints between batches of tasks.
$ npx skills add hashgraph-online/awesome-codex-plugins --skill executing-plans -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install hashgraph-online/awesome-codex-plugins executing-plans --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/yimwoo/hotl-plugin/skills/executing-plans .claude/skills/executing-plans && 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 "executing-plans" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/yimwoo/hotl-plugin/skills/executing-plans into .claude/skills/executing-plans/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "executing-plans", 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/yimwoo/hotl-plugin/skills/executing-plansType 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 executing-plans -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install hashgraph-online/awesome-codex-plugins executing-plans --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/yimwoo/hotl-plugin/skills/executing-plans .agents/skills/executing-plans && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "executing-plans" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/yimwoo/hotl-plugin/skills/executing-plans into .agents/skills/executing-plans/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "executing-plans", 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 executing-plans -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install hashgraph-online/awesome-codex-plugins executing-plans --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/yimwoo/hotl-plugin/skills/executing-plans .cursor/skills/executing-plans && 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 "executing-plans" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/yimwoo/hotl-plugin/skills/executing-plans into .cursor/skills/executing-plans/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "executing-plans", 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/yimwoo/hotl-plugin/skills/executing-plans--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 executing-plans -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install hashgraph-online/awesome-codex-plugins executing-plans --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/yimwoo/hotl-plugin/skills/executing-plans .gemini/skills/executing-plans && 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 "executing-plans" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/yimwoo/hotl-plugin/skills/executing-plans into .gemini/skills/executing-plans/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "executing-plans", 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 executing-plansInstalls 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 executing-plans -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/yimwoo/hotl-plugin/skills/executing-plans .github/skills/executing-plans && 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 "executing-plans" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/yimwoo/hotl-plugin/skills/executing-plans into .github/skills/executing-plans/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "executing-plans", 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 executing-plans -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 executing-plans --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/yimwoo/hotl-plugin/skills/executing-plans .opencode/skills/executing-plans && 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 "executing-plans" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/yimwoo/hotl-plugin/skills/executing-plans into .opencode/skills/executing-plans/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "executing-plans", 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.
executing-plansA skill your agent uses when executing an implementation plan linearly with explicit human checkpoints between batches of tasks.
Executing Plans is an agent skill from hashgraph-online/awesome-codex-plugins. Use when executing an implementation plan linearly with explicit human checkpoints between batches of tasks.
Its SKILL.md is about 3.4k 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 Agent Workflows, covering Planning. It works with Git. 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.
4 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 78497e5. 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.
Shell commands in SKILL.md call:
gitFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use git, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Names these keys or tokens, usually read from environment variables:
HOTL_OWNER_TOKENFrom names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Executing Plans loads about 3.4k tokens when it runs. Until then it costs about 31 tokens; SKILL.md has 1,171 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 hashgraph-online/awesome-codex-plugins at commit 78497e5, republished under its Apache-2.0 licence (© hashgraph-online). 1,171 words, ~3,364 tokens.
.claude/skills/executing-plans/SKILL.md (or your agent's skills folder).Execute the plan task by task. Pause after every 3 tasks for human review.
This remains the explicit manual-checkpoint profile. New host-native or fallback runs may enter through governed-execution; when they do, use its selected driver for lifecycle calls, sensitive-action decisions, budgets, receipts, and reconciliation while preserving every checkpoint in this skill.
Resolve which workflow file to execute:
docs/plans/*-workflow.md:hotl-workflow*.md in project root:After resolving the workflow file, run this preflight before executing any steps:
1. Is this a git repo with at least one commit?
- No → log "Skipping branch setup (no git history)" → proceed to step execution
- Yes → continue
2. Check for uncommitted changes
- First, exclude HOTL-owned transient artifacts from the dirty check:
• docs/plans/*-workflow.md (canonical workflow files)
• hotl-workflow-*.md (legacy workflow files)
• docs/designs/*.md (canonical design docs from brainstorming)
• docs/plans/*-design.md, docs/plans/*-plan.md (legacy design docs from brainstorming)
• .hotl/ (runtime state, reports, cache)
- If only HOTL artifacts are dirty → treat as clean, continue
- If non-HOTL dirty files exist:
• If dirty_worktree: allow in workflow frontmatter → proceed without prompting
• Otherwise → HARD-FAIL. Tell the user which non-HOTL files are dirty. Offer choices:
a. Clean up manually, then re-run
b. Stash manually, then re-run
c. Explicitly approve HOTL to stash and continue
- Clean → continue
3. Determine branch name
- If branch: field exists in workflow frontmatter → use it
- Otherwise → derive `hotl/<slug>` from the workflow filename
• Canonical: strip `YYYY-MM-DD-` prefix and `-workflow.md` suffix from `docs/plans/YYYY-MM-DD-<slug>-workflow.md`
• Legacy: strip `hotl-workflow-` prefix and `.md` suffix from `hotl-workflow-<slug>.md`
4. Capture authoring origin
- Record the current branch name (if any) and current `HEAD` commit as the workflow's authoring origin
- If the current branch is neither `main` nor `master`, and the workflow frontmatter does not already set `branch:` or `worktree:`, PAUSE and ask:
a. Continue on the current branch in this checkout
→ set `branch: <current-branch>` and `worktree: false`
b. Use HOTL's isolated execution branch/worktree (recommended)
→ leave `worktree: true` and let HOTL derive `hotl/<slug>` unless the user wants a custom branch name
c. Use a custom execution branch
→ set `branch: <user-branch>` and keep worktree isolation unless the user explicitly opts out
- Explain clearly: the authoring checkout and the execution checkout can differ. HOTL can execute in a separate worktree while leaving the current checkout untouched
5. Determine isolation mode
- If `worktree: host` in frontmatter → stay on the current checkout's current feature branch exactly as provided by the host tool; reject `main` and `master`
- If `worktree: false` in frontmatter → stay in the current checkout and use a dedicated branch there
- If the current checkout is already a named linked git worktree, and the workflow frontmatter does not set `branch:` or `worktree:`, use host mode automatically to avoid stacking another worktree
- Otherwise → use an isolated git worktree by default
6. Check if the target branch/worktree already exists locally
- Current helper behavior: existing branch/worktree collisions are a hard stop, not an interactive reuse/recreate flow
- If the helper reports an existing branch/worktree conflict, stop and ask the user whether to reuse manually, delete+recreate manually, or abort
- Does not exist → create (no prompt)
7. Resolve the execution root with `scripts/hotl-prepare-execution-root.sh <workflow-file> --executor-mode <mode>`
- The helper returns JSON with: `branch`, `repo_root`, `execution_root`, `workflow_path`, `source_workflow_path`, `source_branch`, `source_head`, `worktree_path`
- By default it creates a linked git worktree for the branch, copies the current workflow into that worktree, and returns that worktree as `execution_root`
- If `worktree: false` in frontmatter → create/switch to the dedicated branch in the current checkout and return the repo root as `execution_root`
- If `worktree: host` in frontmatter → keep the current branch and return the current checkout as `execution_root`; if `branch:` is set, it must match the current branch
- If `branch:` matches the currently checked-out branch while worktree isolation is still enabled, the helper must STOP with a clear message telling the user to set `worktree: false` or `worktree: host` for same-branch continuity
8. Change into `execution_root`
- Every later git command, runtime call, Codex helper call, and review command for this run MUST execute from that directoryRules:
scripts/document-lint.sh) automatically on the workflow file before any git mutation or step execution. If lint fails, STOP and show all errors. If lint passes, continue silently.The verify field supports 4 types. A scalar string is shorthand for type: shell. If verify is a list, ALL checks must pass.
hotl-rt step N verify returns a human review required: ... block reason and pauses the run; show the prompt, wait for approval, then persist it with hotl-rt gate N approved|rejected --mode human (never auto-approve)matches-glob, path must be the directory and value must be a filename glob only; values like src/* are invalid and should be authored as path: srcAll state persistence is handled by the hotl-rt shared runtime (runtime/hotl-rt). This executor calls hotl-rt for all state transitions and keeps the claimed controller token in HOTL_OWNER_TOKEN:
hotl-rt init <workflow-file> --require-owner --executor-mode executing-plans ... — at run starthotl-rt owner claim ... and renewable hotl-rt owner heartbeat ... — controller coordinationhotl-rt step N start --run-id <run-id> — before each stephotl-rt step N verify --run-id <run-id> — after each step's actionhotl-rt step N retry --run-id <run-id> / hotl-rt step N block --reason "..." --run-id <run-id> — on failurehotl-rt gate N approved|rejected --run-id <run-id> — at gate stepshotl-rt action request|decide|begin|complete|reconcile ... — sensitive authorization and effect evidencehotl-rt budget check --run-id <run-id> — before another costly or long action when telemetry is relevanthotl-rt finalize --json --run-id <run-id> — after all execution evidence is complete; successful runs become ready_to_finishhotl-rt finish <disposition> --run-id <run-id> — after the user selects the explicit disposition; successful runs then become completedThe runtime owns .hotl/state/<run-id>.json and .hotl/reports/<run-id>.md. Agents do not manage these files directly. Runtime calls happen before the corresponding chat or progress UI update.
Use the same HOTL runtime and script path resolution order defined in skills/loop-execution/SKILL.md. Do not assume runtime/ or scripts/ exist in the user's project checkout.
To resume an interrupted executing-plans run, use the host tool's native resume entry point.
$hotl:resuming on the workflow file/hotl:resume <workflow-file>hotl-rt owner claim --owner <stable-controller-id> --lease-seconds <bounded-lease> --run-id <run-id>, parse its one-time token without displaying it, export it as HOTL_OWNER_TOKEN, and heartbeat before and after long actions and at batch boundaries. Every later mutation inherits the token.owner handoff, owner release, or reviewed owner takeover. Age alone is never takeover authority.action request with a stable idempotency key, human action decide, then action begin before the external operation and action complete with evidence afterward. If the outcome is interrupted or uncertain, inspect the target and use action reconcile; do not replay it blindly.execution_roothotl-rt init <workflow-file> --require-owner --executor-mode executing-plans --repo-root <repo-root> --execution-root <execution-root> --source-workflow-path <source-workflow-path> --source-branch <source-branch|null> --source-head <source-head|null> --worktree-path <worktree-path|null> --branch <branch> to initialize state and reportHOTL_OWNER_TOKEN, and pass --run-id <run-id> (or set HOTL_RUN_ID=<run-id>) on every later runtime/helper call for this runhotl-rt step N start --run-id <run-id> before each stephotl-rt step N verify --run-id <run-id> to run typed verificationhuman review required: ..., pause and do not continue until hotl-rt gate N approved|rejected --mode human --run-id <run-id> succeedshotl-rt step N retry --run-id <run-id> or hotl-rt step N block --reason "..." --run-id <run-id>hotl-rt gate N approved|rejected --run-id <run-id>hotl:verification-before-completion, then hotl-rt finalize --json --run-id <run-id>. Treat ready_to_finish as awaiting disposition, render the verified-step summary, and invoke hotl:finishing-a-development-branch with the same run_id and owner token.completed, release ownership, require a sufficient receipt, and only then claim completion.Record git rev-parse HEAD as the review base before starting each batch.
After all steps in the batch have passed verification:
requesting-code-review to dispatch the code-reviewer agentreceiving-code-reviewA final review is required unless the most recent review already covers all current changes and no code changed afterward.
requesting-code-review with review type: finalreceiving-code-reviewReview happens after step verification, before verification-before-completion, before hotl-rt finalize.
Use this over loop-execution when you want explicit human checkpoints at every stage rather than auto-approve.
Execution report output must conform to docs/contracts/execution-report-output.md. This is the canonical reporting contract from skills/loop-execution/SKILL.md. Live step visibility follows the same rules as skills/loop-execution/SKILL.md — per-step chat logs on all platforms, deterministic renderer for final summary.
© 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
Just SKILL.md in plugins/yimwoo/hotl-plugin/skills/executing-plans of hashgraph-online/awesome-codex-plugins.
Open the folder on GitHubat commit 78497e5
Executing Plans 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 |
|---|---|---|---|---|---|---|
| Executing Plans this skillhashgraph-online/awesome-codex-plugins | 1.2k | — | ~3.4k | Automated safety check: Pass | Apache-2.0 | |
| Inline Plan ExecutionjnMetaCode/superpowers-zh | 8.3k | — | ~2.5k | Automated safety check: Pass | MIT | |
| Nanogaragon/nanostack | 207 | — | ~3.3k | Automated safety check: Pass | Apache-2.0 | |
| File-Based Planning in ArabicOthmanAdi/planning-with-files | 27k | — | ~3.2k | Automated safety check: Notes | MIT | |
| Blueprint Construction Planneraffaan-m/ECC | 275k | 5 repos | ~1.3k | Automated safety check: Pass | MIT | |
| Interview-Driven Spec Writerposhan0126/dotclaude | 871 | — | ~804 | Automated safety check: Pass | MIT |
jnMetaCode/superpowers-zh
Executes a written implementation plan task by task in the current session, with a progress ledger, test-first gates and one fresh-context review at the end.
garagon/nanostack
A skill your agent uses when starting non-trivial work (touching 3+ files, new features, refactors, bug investigations).
OthmanAdi/planning-with-files
Arabic edition of a file-based planning skill that keeps task_plan.md, findings.md and progress.md on disk so multi-step agent work survives lost context.
affaan-m/ECC
Turns a one-line objective into a multi-step plan file with PR-sized steps, context briefs, a dependency graph, parallel-step detection and an adversarial review.
poshan0126/dotclaude
Interviews you about scope, behavior, edge cases and verification, then writes a self-contained SPEC.md that a fresh session can implement without this conversation.
gittower/git-flow-next
Builds a two-phase implementation plan from a spec issue, analysis or concept, writing a detailed test plan first and the implementation outline second.
hashgraph-online/awesome-codex-plugins
Create original anime-style reaction stickers as looping GIFs and MP4 previews, using generated character pose sheets and timed key poses.
hashgraph-online/awesome-codex-plugins
Manage and query Calibre libraries with the calibredb CLI (local paths or Calibre Content server URLs).
hashgraph-online/awesome-codex-plugins
A skill your agent uses when adding, changing, testing, or debugging Rust HTTP APIs and services, especially when Codex needs black-box integration tests, random-port app startup, real database test…
hashgraph-online/awesome-codex-plugins
Make a studio's game look like something at build time — a cover from a real frame of the game (free), painted covers, backdrops, textures and character plates from image models through the…
hashgraph-online/awesome-codex-plugins
Balance game difficulty, resources, rewards, probability, progression, economies, and dominant strategies.
hashgraph-online/awesome-codex-plugins
Analyze nonfiction manuscripts for reader engagement signals, including heading-level word counts, slow starts, long slogs, weak takeaway titles, value pacing, beta-reader comment dropoff, and…
Works with
Categories
A skill your agent uses when executing an implementation plan linearly with explicit human checkpoints between batches of tasks. Executing Plans is an agent skill from hashgraph-online/awesome-codex-plugins. Use when executing an implementation plan linearly with explicit human checkpoints between batches of tasks.
Executing Plans fits situations like: executing an implementation plan linearly with explicit human checkpoints between batches of tasks; tasks that involve Planning.
Run `npx skills add hashgraph-online/awesome-codex-plugins --skill executing-plans -a claude-code`. Or copy the skill folder (plugins/yimwoo/hotl-plugin/skills/executing-plans in hashgraph-online/awesome-codex-plugins) into .claude/skills/executing-plans in your project. Claude Code loads it when a task matches its description.
Run `npx skills add hashgraph-online/awesome-codex-plugins --skill executing-plans -a codex`. Or copy the skill folder (plugins/yimwoo/hotl-plugin/skills/executing-plans in hashgraph-online/awesome-codex-plugins) into .agents/skills/executing-plans 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 hashgraph-online/awesome-codex-plugins --skill executing-plans -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/executing-plans, .gemini/skills/executing-plans, .github/skills/executing-plans and .opencode/skills/executing-plans in your project.
Going by SKILL.md and its folder, Executing Plans needs the command-line tools its instructions call (git) and credentials named HOTL_OWNER_TOKEN. Our summary lists: A credential in HOTL_OWNER_TOKEN.
SKILL.md contains no URLs. Its commands use git, which can reach the network depending on how they are called. 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.
Executing Plans 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.
About 3.4k tokens (SKILL.md is roughly 13k 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 Executing Plans: Inline Plan Execution (jnMetaCode/superpowers-zh, 8.3k stars), Nano (garagon/nanostack, 207 stars), File-Based Planning in Arabic (OthmanAdi/planning-with-files, 27k stars) and Blueprint Construction Planner (affaan-m/ECC, 275k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
hashgraph-online (a GitHub organization) maintains it in hashgraph-online/awesome-codex-plugins, which has 1,242 GitHub stars. The repository holds 686 skills in this directory. The repository was last updated on October 8, 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.