A skill your agent uses when executing an implementation plan linearly with explicit human checkpoints between batches of tasks.

Apache-2.0Auto-check passedAgent Workflows

Install Executing Plans

skills CLI
$ npx skills add hashgraph-online/awesome-codex-plugins --skill executing-plans -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install hashgraph-online/awesome-codex-plugins executing-plans --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ 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-src

Use ~/.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/

Facts

Skill name
executing-plans
GitHub stars
1.2k
Token cost
~3.4k tokens
SKILL.md length
1,171 words
Files
1
Skills in repo
686
Repo updated
First seen
Licence
Apache-2.0

At a glance

A skill your agent uses when executing an implementation plan linearly with explicit human checkpoints between batches of tasks.

  • Works in 4 steps: If the user specified a filename → use… → Else, glob for canonical workflows in… → If no canonical matches, glob for legacy… → …
  • Executing an implementation plan linearly with explicit human checkpoints between batches of tasks
  • SKILL.md covers Workflow File Resolution, Branch/Worktree Preflight, Typed Verification and Execution State Persistence, plus 3 more sections
  • Calls git; needs HOTL_OWNER_TOKEN

What it does

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.

When your agent uses it

  • Executing an implementation plan linearly with explicit human checkpoints between batches of tasks
  • Tasks that involve Planning

Example prompts

  • “/executing-plans”

Requirements

  • A credential in HOTL_OWNER_TOKEN

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

  1. If the user specified a filename → use that file
  2. Else, glob for canonical workflows in docs/plans/*-workflow.md
  3. If no canonical matches, glob for legacy hotl-workflow*.md in project root
  4. No matches → stop and ask the user to create or name a workflow file

What it can do on your machine

Read from SKILL.md and the folder at commit 78497e5. 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

    Shell commands in SKILL.md call:

    • git

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    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.

  • Credentials

    Names these keys or tokens, usually read from environment variables:

    • HOTL_OWNER_TOKEN

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

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.

Always · name and description, kept in context so the agent knows when to use it
~31
When it runs · the whole SKILL.md, loaded when a task matches
~3.4k

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 78497e5, republished under its Apache-2.0 licence (© hashgraph-online). 1,171 words, ~3,364 tokens.

Download SKILL.mdSave it as .claude/skills/executing-plans/SKILL.md (or your agent's skills folder).
name
executing-plans
description
Use when executing an implementation plan linearly with explicit human checkpoints between batches of tasks.

Executing Plans (Linear with Checkpoints)

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.

Workflow File Resolution

Resolve which workflow file to execute:

  1. If the user specified a filename → use that file
  2. Else, glob for canonical workflows in docs/plans/*-workflow.md:
    • One match → use it automatically
    • Multiple matches → if one is clearly the newest revision for the same semantic slug, prefer it; otherwise list them and ask the user to pick
  3. If no canonical matches, glob for legacy hotl-workflow*.md in project root:
    • One match → use it automatically
    • Multiple matches → list them and ask the user to pick
  4. No matches → stop and ask the user to create or name a workflow file

Branch/Worktree Preflight

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 directory

Rules:

  • No auto-stash. Hidden state mutation weakens governance.
  • Existing branch/worktree collisions do not currently auto-prompt; treat them as a stop-and-ask condition until interactive reuse/recreate is implemented.
  • Non-git repos skip entirely — HOTL works without git ceremony.
  • Run HOTL structural lint (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.

Typed Verification

The verify field supports 4 types. A scalar string is shorthand for type: shell. If verify is a list, ALL checks must pass.

  • type: shell — run command, check exit code, capture stdout/stderr
  • type: browser — use browser tooling with url+check; if unavailable, downgrade to type: human-review with check text as prompt
  • type: human-review — 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)
  • type: artifact — check path exists, evaluate assert (kind: exists | contains | matches-glob) For 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: src

Execution State Persistence

All 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 start
  • hotl-rt owner claim ... and renewable hotl-rt owner heartbeat ... — controller coordination
  • hotl-rt step N start --run-id <run-id> — before each step
  • hotl-rt step N verify --run-id <run-id> — after each step's action
  • hotl-rt step N retry --run-id <run-id> / hotl-rt step N block --reason "..." --run-id <run-id> — on failure
  • hotl-rt gate N approved|rejected --run-id <run-id> — at gate steps
  • hotl-rt action request|decide|begin|complete|reconcile ... — sensitive authorization and effect evidence
  • hotl-rt budget check --run-id <run-id> — before another costly or long action when telemetry is relevant
  • hotl-rt finalize --json --run-id <run-id> — after all execution evidence is complete; successful runs become ready_to_finish
  • hotl-rt finish <disposition> --run-id <run-id> — after the user selects the explicit disposition; successful runs then become completed

The 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.

  • Codex: ask me to use $hotl:resuming on the workflow file
  • Claude Code: /hotl:resume <workflow-file>
Long-running controller and effect rules
  • Immediately after init, run 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.
  • If control must move, use explicit owner handoff, owner release, or reviewed owner takeover. Age alone is never takeover authority.
  • Host goals, automations, background sessions, handoffs, and hooks provide scheduling and liveness only. HOTL state, verification, ownership, and receipts remain authoritative.
  • For each sensitive effect, use 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.
Show full SKILL.md (453 more words)Show less

Process

  1. Resolve and read the workflow (see above)
  2. Run Branch/Worktree Preflight (see above), capture its JSON result, and change into execution_root
  3. Run hotl-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 report
  4. Capture the run id, claim ownership, retain the raw token only as HOTL_OWNER_TOKEN, and pass --run-id <run-id> (or set HOTL_RUN_ID=<run-id>) on every later runtime/helper call for this run
  5. Execute tasks in order, 3 at a time:
    • hotl-rt step N start --run-id <run-id> before each step
    • Execute the action
    • hotl-rt step N verify --run-id <run-id> to run typed verification
    • If verify reports human review required: ..., pause and do not continue until hotl-rt gate N approved|rejected --mode human --run-id <run-id> succeeds
    • On failure: hotl-rt step N retry --run-id <run-id> or hotl-rt step N block --reason "..." --run-id <run-id>
    • On gate: hotl-rt gate N approved|rejected --run-id <run-id>
  6. After each batch: run review checkpoint (see below), then show what was done, ask "Continue to next batch?"
  7. On failure: stop and report — never silently skip a failed step
  8. When execution evidence is complete: run final review checkpoint (see below), invoke 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.
  9. After explicit finish moves a successful run to completed, release ownership, require a sufficient receipt, and only then claim completion.

Review Checkpoints

Record git rev-parse HEAD as the review base before starting each batch.

After Each Batch

After all steps in the batch have passed verification:

  1. Invoke requesting-code-review to dispatch the code-reviewer agent
    • Review type: checkpoint
    • Review base: the recorded pre-batch HEAD
    • Steps reviewed: the batch step numbers
  2. When findings return, invoke receiving-code-review
    • Follow Verify → Evaluate → Respond → Implement
  3. Resolve all BLOCK findings before proceeding to the next batch
Before Final Completion

A final review is required unless the most recent review already covers all current changes and no code changed afterward.

  1. Invoke requesting-code-review with review type: final
    • Review base: branch point or last review base, whichever is more recent
  2. When findings return, invoke receiving-code-review
  3. Resolve all BLOCK findings before finalizing
  4. If fixes after the last review changed scope, constraints, or risk_level, request a scoped follow-up review before completing

Review 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.

Reporting

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

Files

Just SKILL.md in plugins/yimwoo/hotl-plugin/skills/executing-plans of hashgraph-online/awesome-codex-plugins.

Open the folder on GitHubat commit 78497e5

Compare with similar skills

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.

Executing Plans compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Executing Plans this skillhashgraph-online/awesome-codex-plugins1.2k—~3.4kAutomated safety check: PassApache-2.0
Inline Plan ExecutionjnMetaCode/superpowers-zh8.3k—~2.5kAutomated safety check: PassMIT
Nanogaragon/nanostack207—~3.3kAutomated safety check: PassApache-2.0
File-Based Planning in ArabicOthmanAdi/planning-with-files27k—~3.2kAutomated safety check: NotesMIT
Blueprint Construction Planneraffaan-m/ECC275k5 repos~1.3kAutomated safety check: PassMIT
Interview-Driven Spec Writerposhan0126/dotclaude871—~804Automated safety check: PassMIT

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Works with

Categories

Questions about Executing Plans

What does Executing Plans do?

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.

When should I use Executing Plans?

Executing Plans fits situations like: executing an implementation plan linearly with explicit human checkpoints between batches of tasks; tasks that involve Planning.

How do I install Executing Plans in Claude Code?

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.

How do I install Executing Plans in Codex?

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.

Can I use Executing Plans 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 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.

What does Executing Plans need to run?

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.

Does Executing Plans access the network?

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.

Is Executing Plans 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 Executing Plans use?

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.

How many tokens does Executing Plans use?

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.

What are the alternatives to Executing Plans?

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.

Who maintains Executing Plans?

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.