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Agent skill

System Execution Report

by coleam00 in coleam00/skills

Generates a structured implementation report reflecting on a just-completed feature — what was done, divergences, challenges.

MITAuto-check passed

Install System Execution Report

skills CLI
$ npx skills add coleam00/skills --skill system-execution-report -a claude-code

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

GitHub CLI
$ gh skill install coleam00/skills system-execution-report --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/coleam00/skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/system-execution-report .claude/skills/system-execution-report && 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
system-execution-report
GitHub stars
670
Token cost
~452 tokens
SKILL.md length
193 words
Files
1
Skills in repo
34
Repo updated
First seen
Licence
MIT

At a glance

Generates a structured implementation report reflecting on a just-completed feature — what was done, divergences, challenges.

  • SKILL.md covers Context and Generate Report
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

System Execution Report is an agent skill from coleam00/skills. Generates a structured implementation report reflecting on a just-completed feature — what was done, divergences, challenges. Use right after finishing an implementation, as the input to a system review.

Its SKILL.md is about 450 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

The repository describes itself as: The agent skills I actually use to build software with coding agents. The PIV loop, planning, worktrees, and the meta-skills for building your own AI Layer. The licence is MIT.

Example prompts

  • “Use the system-execution-report skill to generate a structured implementation report reflecting on a just-completed feature — what was done…”
  • “/system-execution-report”

What it can do on your machine

Read from SKILL.md and the folder at commit 847be08. 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

System Execution Report loads about 452 tokens when it runs. Until then it costs about 57 tokens; SKILL.md has 193 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~57
When it runs · the whole SKILL.md, loaded when a task matches
~452

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 coleam00/skills at commit 847be08, republished under its MIT licence (© coleam00). 193 words, ~452 tokens.

Download SKILL.mdSave it as .claude/skills/system-execution-report/SKILL.md (or your agent's skills folder).
name
system-execution-report
description
Generates a structured implementation report reflecting on a just-completed feature — what was done, divergences, challenges. Use right after finishing an implementation, as the input to a system review.

Execution Report

Review and deeply analyze the implementation you just completed.

Context

You have just finished implementing a feature. Before moving on, reflect on:

  • What you implemented
  • How it aligns with the plan
  • What challenges you encountered
  • What diverged and why

Generate Report

Save to: .claude/execution-reports/[feature-name].md

Meta Information
  • Plan file: [path to plan that guided this implementation]
  • Files added: [list with paths]
  • Files modified: [list with paths]
  • Lines changed: +X -Y
Validation Results
  • Syntax & Linting: ✓/✗ [details if failed]
  • Type Checking: ✓/✗ [details if failed]
  • Unit Tests: ✓/✗ [X passed, Y failed]
  • Integration Tests: ✓/✗ [X passed, Y failed]
What Went Well

List specific things that worked smoothly:

  • [concrete examples]
Challenges Encountered

List specific difficulties:

  • [what was difficult and why]
Divergences from Plan

For each divergence, document:

[Divergence Title]

  • Planned: [what the plan specified]
  • Actual: [what was implemented instead]
  • Reason: [why this divergence occurred]
  • Type: [Better approach found | Plan assumption wrong | Security concern | Performance issue | Other]
Skipped Items

List anything from the plan that was not implemented:

  • [what was skipped]
  • Reason: [why it was skipped]
Recommendations

Based on this implementation, what should change for next time?

  • Plan skill improvements: [suggestions]
  • Execute skill improvements: [suggestions]
  • CLAUDE.md additions: [suggestions]

© coleam00, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in .claude/skills/system-execution-report of coleam00/skills.

Open the folder on GitHubat commit 847be08

Compare with similar skills

System Execution Report 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.

System Execution Report compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
System Execution Report this skillcoleam00/skills670—~452Automated safety check: PassMIT
Generatealirezarezvani/claude-skills28k1 repos~1.1kAutomated safety check: PassMIT
Reflectalirezarezvani/claude-skills28k1 repos~2.4kAutomated safety check: PassMIT
Fal Generatenexu-io/open-design100k—~306Automated safety check: PassApache-2.0
Video Generationbytedance/deer-flow83k4 repos~1.4kAutomated safety check: PassMIT
Image Generationonyx-dot-app/onyx32k1 repos~1.7kAutomated safety check: PassCustom licence

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Questions about System Execution Report

What does System Execution Report do?

Generates a structured implementation report reflecting on a just-completed feature — what was done, divergences, challenges. System Execution Report is an agent skill from coleam00/skills. Generates a structured implementation report reflecting on a just-completed feature — what was done, divergences, challenges.

How do I install System Execution Report in Claude Code?

Run `npx skills add coleam00/skills --skill system-execution-report -a claude-code`. Or copy the skill folder (.claude/skills/system-execution-report in coleam00/skills) into .claude/skills/system-execution-report in your project. Claude Code loads it when a task matches its description.

How do I install System Execution Report in Codex?

Run `npx skills add coleam00/skills --skill system-execution-report -a codex`. Or copy the skill folder (.claude/skills/system-execution-report in coleam00/skills) into .agents/skills/system-execution-report in your project. Codex loads it when a task matches its description.

Can I use System Execution Report 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 coleam00/skills --skill system-execution-report -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/system-execution-report, .gemini/skills/system-execution-report, .github/skills/system-execution-report and .opencode/skills/system-execution-report in your project.

What does System Execution Report need to run?

SKILL.md names no scripts, command-line tools or credentials: System Execution Report is instructions for the agent only.

Does System Execution Report 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 System Execution Report 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 System Execution Report use?

System Execution Report is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does System Execution Report use?

About 452 tokens (SKILL.md is roughly 1.8k 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 System Execution Report?

Skills that share tags, products or a category with System Execution Report: Generate (alirezarezvani/claude-skills, 28k stars), Reflect (alirezarezvani/claude-skills, 28k stars), Fal Generate (nexu-io/open-design, 100k stars) and Video Generation (bytedance/deer-flow, 83k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains System Execution Report?

coleam00 (a GitHub user) maintains it in coleam00/skills, which has 670 GitHub stars. The repository holds 34 skills in this directory. The repository was last updated on October 7, 2026.

Source: coleam00/skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.