Agent skill

Tech Debt Scan

by jtenniswood in jtenniswood/espcontrol

Research-only technical debt scan for this EspControl repository.

Custom licenceAuto-check passedDevelopment

Install Tech Debt Scan

skills CLI
$ npx skills add jtenniswood/espcontrol --skill tech-debt-scan -a claude-code

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

GitHub CLI
$ gh skill install jtenniswood/espcontrol tech-debt-scan --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/jtenniswood/espcontrol.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/tech-debt-scan .claude/skills/tech-debt-scan && 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
tech-debt-scan
GitHub stars
1.1k
Token cost
~1.4k tokens
SKILL.md length
555 words
Files
2
Skills in repo
14
Repo updated
First seen
Licence
Custom licence

At a glance

Research-only technical debt scan for this EspControl repository.

  • Works in 5 steps: Inspect repository state. → Map the project structure. → Look for these debt patterns → …
  • The user asks for a tech debt scan
  • SKILL.md covers Guardrails, Backlog File, Scan Workflow and Backlog Format, plus 2 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Tech Debt Scan is an agent skill from jtenniswood/espcontrol. Research-only technical debt scan for this EspControl repository. Use when the user asks for a tech debt scan, cleanup backlog, maintainability review, messy or rushed implementation review, duplicated logic audit, fragile assumption scan, dead code review, architecture cleanup plan, or asks to identify code that works now but will be painful to maintain later.

Its SKILL.md is about 1.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `agents/openai.yaml`).

It sits in Development, covering Technical debt. The repository describes itself as: Esphome based smart home control panel.

When your agent uses it

  • The user asks for a tech debt scan
  • Cleanup backlog
  • Maintainability review
  • Rushed implementation review

Example prompts

  • “/tech-debt-scan”

Workflow steps

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

  1. Inspect repository state.
  2. Map the project structure.
  3. Look for these debt patterns
  4. Validate each meaningful finding.
  5. Prioritize by practical impact.

What it can do on your machine

Read from SKILL.md and the folder at commit 72cf82c. 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 (its code samples are markdown).

    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

Tech Debt Scan loads about 1.4k tokens when it runs. Until then it costs about 95 tokens; SKILL.md has 555 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~95
When it runs · the whole SKILL.md, loaded when a task matches
~1.4k

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

Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 555 words (~1,432 tokens).

“Perform a research-only review of the repository and turn findings into a practical cleanup backlog. Do not implement fixes during the scan unless the user separately selects a backlog item and asks for it to be fixed.”

— opening of SKILL.md by jtenniswood, Custom licence
name
tech-debt-scan

Read the full SKILL.md on GitHub

Files

SKILL.md and 1 other file in .agents/skills/tech-debt-scan of jtenniswood/espcontrol.

  • SKILL.md
  • agents/openai.yaml

Open the folder on GitHubat commit 72cf82c

Compare with similar skills

Tech Debt Scan 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.

Tech Debt Scan compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Tech Debt Scan this skilljtenniswood/espcontrol1.1k—~1.4kAutomated safety check: PassCustom licence
Systematic Code Refactoringluongnv89/claude-howto42k—~3kAutomated safety check: PassMIT
Code Simplification for ego-litecitrolabs/ego-lite17k—~1.2kAutomated safety check: PassMIT
Code Refactoring Workflowluongnv89/claude-howto42k—~3.1kAutomated safety check: PassMIT
Cto AdvisorIbrahim-3d/orchestrator-supaconductor3814 repos~2.4kAutomated safety check: PassMIT
Ponytail Debt LedgerDietrichGebert/ponytail160k—~453Automated safety check: PassMIT

Similar skills

  • Systematic Code Refactoring

    luongnv89/claude-howto

    Guides refactoring in phases based on Martin Fowler's method: research, test coverage check, planning and small tested steps, with your approval at each phase.

    42k GitHub stars~3k tokensUpdated today
    DevelopmentAuto-check passed
  • Finds and implements evidence-backed simplifications in the ego-lite repository, such as dead code, duplicated state and speculative abstractions, without hiding behavior changes.

    17k GitHub stars~1.2k tokensUpdated yesterday
    DevelopmentAuto-check passed
  • Code Refactoring Workflow

    luongnv89/claude-howto

    Guides systematic, test-backed refactoring in the style of Martin Fowler, moving through research, planning and small incremental changes with your approval at each phase.

    42k GitHub stars~3.1k tokensUpdated today
    DevelopmentAuto-check passed
  • Cto Advisor

    Ibrahim-3d/orchestrator-supaconductor

    Technical leadership guidance for engineering teams, architecture decisions, and technology strategy.

    381 GitHub starsUsed in 4 repos~2.4k tokens
    DevelopmentAuto-check passed
  • Ponytail Debt Ledger

    DietrichGebert/ponytail

    Collects every ponytail: comment in a codebase into one debt ledger, flags shortcuts with no upgrade trigger and reports without changing any files.

    160k GitHub stars~453 tokensUpdated yesterday
    DevelopmentAuto-check passed
  • FIXME Resolver

    tailcallhq/forgecode

    Finds every FIXME comment in a codebase, groups related ones across files into one task, implements the work they describe and removes the comments once it is done.

    7.6k GitHub stars~1.1k tokensUpdated today
    DevelopmentAuto-check passed

More from jtenniswood/espcontrol

All 14 skills in this repo
  • Clean Complete Branches

    jtenniswood/espcontrol

    Clean up completed Git branches and worktrees for this repository both locally and on GitHub.

    1.1k GitHub stars~820 tokensUpdated today
    Auto-check passed
  • Clean Merged Branch Folders

    jtenniswood/espcontrol

    Clean up local branch worktree folders for this repository after their branches or pull requests have merged to main.

    1.1k GitHub stars~813 tokensUpdated today
    Auto-check passed
  • Flash Displays

    jtenniswood/espcontrol

    Flash EspControl display firmware from this repository using ESPHome.

    1.1k GitHub stars~2.8k tokensUpdated today
    Auto-check passed
  • PR

    jtenniswood/espcontrol

    Review a new or open pull request for this repository with an adversarial security and quality lens.

    1.1k GitHub stars~1.4k tokensUpdated today
    Auto-check passed
  • Release

    jtenniswood/espcontrol

    Create and safely publish a new GitHub release for this repository through a verified draft build, then confirm the related GitHub Actions run.

    1.1k GitHub stars~1.7k tokensUpdated today
    Auto-check passed
  • Review All

    jtenniswood/espcontrol

    Review every open pull request authored by the user in this repository and address actionable unresolved review feedback.

    1.1k GitHub stars~1.5k tokensUpdated today
    Auto-check passed

Categories

Questions about Tech Debt Scan

What does Tech Debt Scan do?

Research-only technical debt scan for this EspControl repository. Tech Debt Scan is an agent skill from jtenniswood/espcontrol. Research-only technical debt scan for this EspControl repository.

When should I use Tech Debt Scan?

Tech Debt Scan fits situations like: the user asks for a tech debt scan; cleanup backlog; maintainability review; rushed implementation review.

How do I install Tech Debt Scan in Claude Code?

Run `npx skills add jtenniswood/espcontrol --skill tech-debt-scan -a claude-code`. Or copy the skill folder (.agents/skills/tech-debt-scan in jtenniswood/espcontrol) into .claude/skills/tech-debt-scan in your project. Claude Code loads it when a task matches its description.

How do I install Tech Debt Scan in Codex?

Run `npx skills add jtenniswood/espcontrol --skill tech-debt-scan -a codex`. Or copy the skill folder (.agents/skills/tech-debt-scan in jtenniswood/espcontrol) into .agents/skills/tech-debt-scan in your project. Codex loads it when a task matches its description.

Can I use Tech Debt Scan 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 jtenniswood/espcontrol --skill tech-debt-scan -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/tech-debt-scan, .gemini/skills/tech-debt-scan, .github/skills/tech-debt-scan and .opencode/skills/tech-debt-scan in your project.

What does Tech Debt Scan need to run?

SKILL.md names no scripts, command-line tools or credentials: Tech Debt Scan is instructions for the agent only.

Does Tech Debt Scan 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 Tech Debt Scan 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 Tech Debt Scan use?

Tech Debt Scan has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.

How many tokens does Tech Debt Scan use?

About 1.4k tokens (SKILL.md is roughly 5.7k 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 Tech Debt Scan?

Skills that share tags, products or a category with Tech Debt Scan: Systematic Code Refactoring (luongnv89/claude-howto, 42k stars), Code Simplification for ego-lite (citrolabs/ego-lite, 17k stars), Code Refactoring Workflow (luongnv89/claude-howto, 42k stars) and Cto Advisor (Ibrahim-3d/orchestrator-supaconductor, 381 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Tech Debt Scan?

jtenniswood (a GitHub user) maintains it in jtenniswood/espcontrol, which has 1,091 GitHub stars. The repository holds 14 skills in this directory. The repository was last updated on October 11, 2026.

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