Improve
fossasia/eventyay-interpretation
Survey any codebase as a senior advisor and produce prioritized, self-contained implementation plans for OTHER models/agents to execute.
Execute implementation plans from .artifacts/plan/. An agent skill from alchemiststudiosDOTai/harness-engineering.
$ npx skills add alchemiststudiosDOTai/harness-engineering --skill execute-phase -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install alchemiststudiosDOTai/harness-engineering execute-phase --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/alchemiststudiosDOTai/harness-engineering.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/execute-phase .claude/skills/execute-phase && 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 "execute-phase" agent skill from https://github.com/alchemiststudiosDOTai/harness-engineering/tree/main/skills/execute-phase into .claude/skills/execute-phase/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "execute-phase", 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/alchemiststudiosDOTai/harness-engineering/tree/main/skills/execute-phaseType 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 alchemiststudiosDOTai/harness-engineering --skill execute-phase -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install alchemiststudiosDOTai/harness-engineering execute-phase --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/alchemiststudiosDOTai/harness-engineering.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/execute-phase .agents/skills/execute-phase && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "execute-phase" agent skill from https://github.com/alchemiststudiosDOTai/harness-engineering/tree/main/skills/execute-phase into .agents/skills/execute-phase/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "execute-phase", 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 alchemiststudiosDOTai/harness-engineering --skill execute-phase -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install alchemiststudiosDOTai/harness-engineering execute-phase --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/alchemiststudiosDOTai/harness-engineering.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/execute-phase .cursor/skills/execute-phase && 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 "execute-phase" agent skill from https://github.com/alchemiststudiosDOTai/harness-engineering/tree/main/skills/execute-phase into .cursor/skills/execute-phase/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "execute-phase", 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/alchemiststudiosDOTai/harness-engineering.git --path skills/execute-phase--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 alchemiststudiosDOTai/harness-engineering --skill execute-phase -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install alchemiststudiosDOTai/harness-engineering execute-phase --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/alchemiststudiosDOTai/harness-engineering.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/execute-phase .gemini/skills/execute-phase && 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 "execute-phase" agent skill from https://github.com/alchemiststudiosDOTai/harness-engineering/tree/main/skills/execute-phase into .gemini/skills/execute-phase/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "execute-phase", 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 alchemiststudiosDOTai/harness-engineering execute-phaseInstalls 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 alchemiststudiosDOTai/harness-engineering --skill execute-phase -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/alchemiststudiosDOTai/harness-engineering.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/execute-phase .github/skills/execute-phase && 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 "execute-phase" agent skill from https://github.com/alchemiststudiosDOTai/harness-engineering/tree/main/skills/execute-phase into .github/skills/execute-phase/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "execute-phase", 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 alchemiststudiosDOTai/harness-engineering --skill execute-phase -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install alchemiststudiosDOTai/harness-engineering execute-phase --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/alchemiststudiosDOTai/harness-engineering.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/execute-phase .opencode/skills/execute-phase && 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 "execute-phase" agent skill from https://github.com/alchemiststudiosDOTai/harness-engineering/tree/main/skills/execute-phase into .opencode/skills/execute-phase/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "execute-phase", 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.
execute-phaseExecute implementation plans from .artifacts/plan/. An agent skill from alchemiststudiosDOTai/harness-engineering.
Execute Phase is an agent skill from alchemiststudiosDOTai/harness-engineering. Execute implementation plans from .artifacts/plan/. Focus on EXECUTING ONLY - no planning, no fixes outside plan scope. Uses gated checks, atomic commits, and maintains a single execution log in .artifacts/execute/. Use when the user says "execute this plan" or provides a plan path.
Its SKILL.md is about 1.8k 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. The repository describes itself as: harness-engineering discussion of shortcuts, automation, hacks and overall productivity with code agents like claude code, codex, and other harness. The licence is MIT.
7 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 7a9fa15. It shows what the files ask for, not the result of running them.
Pre-approves these tools, so the agent can use them without asking each time:
EditReadWriteBash(git:*)Bash(python:*)Bash(pytest:*)Bash(mypy:*)Bash(black:*)Bash(coverage:*)Bash(docker:*)…and 5 more on the same allowed-tools line.
From allowed-tools in the SKILL.md frontmatter.
Shell commands in SKILL.md call:
gitpytestmypyblackghFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use git and gh, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Execute Phase loads about 1.8k tokens when it runs. Until then it costs about 74 tokens; SKILL.md has 400 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 alchemiststudiosDOTai/harness-engineering at commit 7a9fa15, republished under its MIT licence (© alchemiststudiosDOTai). 400 words, ~1,798 tokens.
.claude/skills/execute-phase/SKILL.md (or your agent's skills folder).Execute implementation plans from .artifacts/plan/ with strict discipline: gated checks, atomic commits, and a single living execution log.
Follow the plan exactly. Do not improvise. Do not fix what isn't in the plan.
If something is ambiguous or missing, stop and ask the user.
.artifacts/plan/| ❌ DON'T | ✅ DO INSTEAD |
|---|---|
| Re-plan the work | Execute tasks as written |
| Fix unrelated issues | Follow plan scope only |
| Skip quality gates | Run all gates, document failures |
| Ignore the plan | Plan is the source of truth |
User provides: $ARGUMENTS = path to plan in .artifacts/plan/
Read the FULL plan. Extract:
Before any code changes:
# Capture git state
BRANCH=$(git branch --show-current)
SHA=$(git rev-parse --short HEAD)
STATUS=$(git status --short)Create rollback point:
git add -A
git commit -m "rollback: before executing plan <topic>"Create .artifacts/execute/YYYY-MM-DD_HH-MM-SS_<topic>.md:
---
title: "<topic> execution log"
link: "<topic>-execute"
type: debug_history
ontological_relations:
- relates_to: [[<plan-link>]]
tags: [execute, <topic>]
uuid: "<uuid>"
created_at: "<ISO-8601 timestamp>"
owner: "{{user}}"
plan_path: ".artifacts/plan/<file>.md"
start_commit: "<short_sha>"
env: {target: "local|staging|prod", notes: ""}
---
## Pre-Flight Checks
- Branch: <branch>
- Rollback commit: <sha>
- DoR satisfied: yes/no
- Access/secrets: present/missing
- Fixtures/data: ready/not ready
[If any NO → abort and add Blockers section]For EACH task in plan order:
1. Read task requirements
2. Implement minimal slice aligned with acceptance test
3. Run local validation
4. Commit atomic change with Task ID in message
5. Update execution logCommit message format:
T<NNN>: <task summary>
<brief description of change>
Refs: plan/<file>.mdRun gates in order. Document ALL results.
# Run tests
pytest
# Type check
mypy src/
# Lint
black --check src/
# Coverage
coverage reportDocument in the execution log:
### Gate Results
- Tests: pass/fail + evidence
- Coverage: X% (target Y%)
- Type checks: pass/fail
- Linters: pass/failIf gate FAILS:
If commits pushed:
# Get repo info for permalinks
gh repo view --json owner,nameAttach permalinks to:
Persist artifact pointers in the execution log.
### Post-Deploy Verification
- Error rates: <metrics>
- Latencies: <metrics>
- Dashboard links: <URLs>
- Smoke/E2E results: <pass/fail>Keep ONE document. Update as you work.
---
title: "<topic> execution log"
link: "<topic>-execute"
type: debug_history
ontological_relations:
- relates_to: [[<plan-link>]]
tags: [execute, <topic>]
uuid: "<uuid>"
created_at: "<ISO-8601 timestamp>"
plan_path: ".artifacts/plan/<file>.md"
start_commit: "<sha>"
end_commit: "<sha>"
env: {target: "...", notes: "..."}
---
## Pre-Flight Checks
- Branch: <branch>
- Rollback: <commit_sha>
- DoR: satisfied/not
- Ready: yes/no
## Task Execution
### T001 – <Summary>
- Status: completed/skipped/failed
- Commit: <sha>
- Files: <list>
- Commands: <cmd> → <output>
- Tests: pass/fail
- Coverage delta: +X%
- Notes: <decisions made>
### T002 – <Summary>
[... repeat for each task ...]
## Gate Results
- Tests: X/Y passed
- Coverage: X% (target Y%)
- Type checks: pass/fail
- Security: # issues
- Linters: pass/fail
## Deployment (if applicable)
- Staging: success/fail
- Prod: success/fail
- Timestamps: <start> → <end>
## Issues & Resolutions
- T<NNN> – <issue> → <resolution|rollback|asked user>
## Success Criteria
- [ ] All planned gates passed
- [ ] Rollout completed or rolled back
- [ ] KPIs/SLOs within thresholds
- [ ] Execution log saved
## Next Steps
- Follow-ups, tech debt, docsAfter the Execute phase, summarize:
# Execution Report – <topic>
**Date:** {{date}}
**Plan:** <plan_file>
**Log:** <log_file>
## Overview
- Environment: <env>
- Start: <sha>
- End: <sha>
- Duration: Xh Ym
- Branch: <branch>
## Outcomes
- Tasks attempted: N
- Tasks completed: N
- Final status: Success | Failure | Blocked
## Gate Results
- Tests: pass/fail
- Coverage: X% (target Y%)
- Type checks: pass/fail
- Security: # issues
## What Was Touched
[List all files modified]
## Next Steps
- [ ] Item 1
- [ ] Item 2Before proceeding with each task:
Start:
Executing plan: .artifacts/plan/<file>.md
Branch: <branch>
Rollback point: <commit_sha>
Tasks: N
Milestones: MEnd:
Execution complete: Success | Failure | Blocked
Tasks completed: N/N
Log: .artifacts/execute/<file>.md
Next step: QA from execute using the generated execution log pathAfter writing the execution log to .artifacts/execute/, proceed to qa-from-execute if the next step is the QA phase.
© alchemiststudiosDOTai, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in skills/execute-phase of alchemiststudiosDOTai/harness-engineering.
Open the folder on GitHubat commit 7a9fa15
Execute Phase 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 |
|---|---|---|---|---|---|---|
| Execute Phase this skillalchemiststudiosDOTai/harness-engineering | 105 | — | ~1.8k | Automated safety check: Pass | MIT | |
| Improvefossasia/eventyay-interpretation | 1.6k | 10 repos | ~3.7k | Automated safety check: Warn | MIT | |
| Workflow Orchestrationvxcozy/workflow-orchestration | 116 | — | ~1k | Automated safety check: Pass | MIT | |
| Deep Planpiercelamb/deep-plan | 101 | — | ~4.8k | Automated safety check: Pass | MIT | |
| Plan Py4vaspvasp-dev/py4vasp | 100 | — | ~2.3k | Automated safety check: Pass | Apache-2.0 | |
| Test-First Implementation Plangittower/git-flow-next | 458 | — | ~1.3k | Automated safety check: Notes | Custom licence |
fossasia/eventyay-interpretation
Survey any codebase as a senior advisor and produce prioritized, self-contained implementation plans for OTHER models/agents to execute.
vxcozy/workflow-orchestration
Disciplined task execution with planning, verification, and self-improvement loops.
piercelamb/deep-plan
Creates detailed, sectionized, TDD-oriented implementation plans through research, stakeholder interviews, and multi-LLM review.
vasp-dev/py4vasp
Plan a py4vasp change as an ordered list of test-first chunks — that chunk list is the plan.
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.
POW-Software/ByteSync
Produce a structured implementation plan (no code) from an existing specification or deep analysis.
alchemiststudiosDOTai/harness-engineering
Set up ast-grep for a codebase with common TypeScript rules for detecting anti-patterns, enforcing best practices, and preventing bugs.
alchemiststudiosDOTai/harness-engineering
This skill should be used when mapping or researching a codebase to understand its structure, patterns, and architecture.
alchemiststudiosDOTai/harness-engineering
Map a repository's mechanical harness layers: canonical check command, local and CI gates, architecture boundaries, structural rules, behavioral verification, docs ratchets, evidence workflows, and…
alchemiststudiosDOTai/harness-engineering
This skill should be used when creating, refreshing, or validating a repository AGENTS.md so it stays concise, current, and grounded in repository evidence.
alchemiststudiosDOTai/harness-engineering
Run or continue a differential debugging session between two implementations, traces, captures, or outputs.
alchemiststudiosDOTai/harness-engineering
Generate execution-ready implementation plans from research docs - planning ONLY, no fixing or verifying.
Categories
Execute implementation plans from .artifacts/plan/. An agent skill from alchemiststudiosDOTai/harness-engineering. Execute Phase is an agent skill from alchemiststudiosDOTai/harness-engineering.artifacts/plan/.
Execute Phase fits situations like: the user says execute this plan; provides a plan path.
Run `npx skills add alchemiststudiosDOTai/harness-engineering --skill execute-phase -a claude-code`. Or copy the skill folder (skills/execute-phase in alchemiststudiosDOTai/harness-engineering) into .claude/skills/execute-phase in your project. Claude Code loads it when a task matches its description.
Run `npx skills add alchemiststudiosDOTai/harness-engineering --skill execute-phase -a codex`. Or copy the skill folder (skills/execute-phase in alchemiststudiosDOTai/harness-engineering) into .agents/skills/execute-phase 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 alchemiststudiosDOTai/harness-engineering --skill execute-phase -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/execute-phase, .gemini/skills/execute-phase, .github/skills/execute-phase and .opencode/skills/execute-phase in your project.
Going by SKILL.md and its folder, Execute Phase needs the command-line tools its instructions call (git, pytest, mypy, black and gh). Our summary lists: Docker. Its frontmatter pre-approves these tools: Edit, Read, Write, Bash(git:*), Bash(python:*), Bash(pytest:*), Bash(mypy:*), Bash(black:*), Bash(coverage:*), Bash(docker:*), Bash(trivy:*), Bash(hadolint:*), Bash(jq:*), Bash(curl:*), Bash(gh:*).
SKILL.md contains no URLs. Its commands use git and gh, 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.
Execute Phase is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.8k tokens (SKILL.md is roughly 7.2k 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 Execute Phase: Improve (fossasia/eventyay-interpretation, 1.6k stars), Workflow Orchestration (vxcozy/workflow-orchestration, 116 stars), Deep Plan (piercelamb/deep-plan, 101 stars) and Plan Py4vasp (vasp-dev/py4vasp, 100 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
alchemiststudiosDOTai (a GitHub organization) maintains it in alchemiststudiosDOTai/harness-engineering, which has 105 GitHub stars. The repository holds 8 skills in this directory. The repository was last updated on March 17, 2026.
Source: alchemiststudiosDOTai/harness-engineering on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.