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Agent skill

Codacy Issues Fetcher

by harumiWeb in harumiWeb/exstruct

Retrieve and format Codacy analysis issues by running scripts/codacyissues.py in the ExStruct workspace.

BSD-3-ClauseAuto-check passedDevelopment

Install Codacy Issues Fetcher

skills CLI
$ npx skills add harumiWeb/exstruct --skill codacy-issues-fetcher -a claude-code

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

GitHub CLI
$ gh skill install harumiWeb/exstruct codacy-issues-fetcher --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/harumiWeb/exstruct.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/codacy-issues-fetcher .claude/skills/codacy-issues-fetcher && 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
codacy-issues-fetcher
GitHub stars
201
Token cost
~589 tokens
SKILL.md length
204 words
Files
2
Skills in repo
8
Repo updated
First seen
Licence
BSD-3-Clause

At a glance

Retrieve and format Codacy analysis issues by running scripts/codacyissues.py in the ExStruct workspace.

  • Works in 2 steps: Run one of the command patterns. → Parse output JSON and respond with…
  • Users ask to inspect repository
  • SKILL.md covers Workflow, Error Handling and Output Policy
  • Calls python; needs CODACY_API_TOKEN

What it does

Codacy Issues Fetcher is an agent skill from harumiWeb/exstruct. Retrieve and format Codacy analysis issues by running scripts/codacyissues.py in the ExStruct workspace. Use when users ask to inspect repository or pull-request Codacy findings, filter by severity, or produce structured issue output for review and fix planning.

Its SKILL.md is about 590 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 Pull requests. It works with Microsoft Excel. The repository describes itself as: Conversion from Excel to structured JSON (tables, shapes, charts) for LLM/RAG pipelines, and autonomous Excel reading/writing by AI agents via CLI and MCP integration. The licence is BSD-3-Clause.

When your agent uses it

  • Users ask to inspect repository
  • Pull-request Codacy findings
  • Filter by severity
  • Produce structured issue output for review and fix planning

Example prompts

  • “/codacy-issues-fetcher”

Requirements

  • Python 3
  • A credential in CODACY_API_TOKEN

Workflow steps

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

  1. Run one of the command patterns.
  2. Parse output JSON and respond with actionable summary.

What it can do on your machine

Read from SKILL.md and the folder at commit 9cdf9aa. 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:

    • python

    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 these keys or tokens, usually read from environment variables:

    • CODACY_API_TOKEN

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

Context cost

Codacy Issues Fetcher loads about 589 tokens when it runs. Until then it costs about 72 tokens; SKILL.md has 204 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~72
When it runs · the whole SKILL.md, loaded when a task matches
~589

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 harumiWeb/exstruct at commit 9cdf9aa, republished under its BSD-3-Clause licence (© harumiWeb). 204 words, ~589 tokens.

Download SKILL.mdSave it as .claude/skills/codacy-issues-fetcher/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
codacy-issues-fetcher
description
Retrieve and format Codacy analysis issues by running `scripts/codacy_issues.py` in the ExStruct workspace. Use when users ask to inspect repository or pull-request Codacy findings, filter by severity, or produce structured issue output for review and fix planning.

Codacy Issues Fetcher

Run scripts/codacy_issues.py as the primary interface to Codacy issue retrieval. Avoid reimplementing API calls unless the script itself must be changed.

Workflow

  1. Confirm prerequisites.
  • Run from repository root so scripts/codacy_issues.py is reachable.
  • Ensure CODACY_API_TOKEN is set and valid.
  • Prefer explicit org and repo if user provides them; otherwise rely on Git origin auto-detection.
  1. Choose scope and severity.
  • Repository scope: omit --pr.
  • Pull request scope: pass --pr <number>.
  • Severity filter (--min-level): Error, High, Warning, Info.
  • Provider (--provider): gh, gl, bb (default is effectively gh).
  1. Run one of the command patterns.
powershell
# Repository issues (explicit target)
python scripts/codacy_issues.py <org> <repo> --provider gh --min-level Warning

# Pull request issues (explicit target)
python scripts/codacy_issues.py <org> <repo> --pr <number> --provider gh --min-level Warning

# Pull request issues (auto-detect org/repo from git origin)
python scripts/codacy_issues.py --pr <number> --min-level Warning
  1. Parse output JSON and respond with actionable summary.
  • Trust payload fields: scope, organization, repository, pullRequest, minLevel, total, issues.
  • issues entries are formatted as: <level> | <file_path>:<line_no> | <rule> | <category> | <message>
  • Report high-severity findings first, then summarize counts.

Error Handling

  • HTTP 401 / Unauthorized: token invalid or missing permissions. Ask user to set or refresh CODACY_API_TOKEN.
  • CODACY_API_TOKEN is not set: export the environment variable before retrying.
  • Invalid --provider: use only gh, gl, or bb.
  • Segment validation errors (Invalid org/repo/pr): sanitize input and rerun.

Output Policy

  • Return concise triage-ready results, not raw command logs.
  • Include the exact command you used when reproducibility matters.
  • If no issues match the selected --min-level, state that explicitly.

© harumiWeb, BSD-3-Clause. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file in .agents/skills/codacy-issues-fetcher of harumiWeb/exstruct.

  • SKILL.md
  • agents/openai.yaml

Open the folder on GitHubat commit 9cdf9aa

Compare with similar skills

Codacy Issues Fetcher 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.

Codacy Issues Fetcher compared with similar skills
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Codacy Issues Fetcher this skillharumiWeb/exstruct201—~589Automated safety check: PassBSD-3-Clause
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Markdown Without Hard Wrapsprisma/orm48k—~472Automated safety check: PassApache-2.0
Finishing a Development Branchobra/superpowers296k5 repos~1.9kAutomated safety check: PassMIT
PR Babysitteropeninterpreter/openinterpreter69k3 repos~4.2kAutomated safety check: PassApache-2.0

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Works with

Categories

Questions about Codacy Issues Fetcher

What does Codacy Issues Fetcher do?

Retrieve and format Codacy analysis issues by running scripts/codacyissues.py in the ExStruct workspace. Codacy Issues Fetcher is an agent skill from harumiWeb/exstruct.py in the ExStruct workspace.

When should I use Codacy Issues Fetcher?

Codacy Issues Fetcher fits situations like: users ask to inspect repository; pull-request Codacy findings; filter by severity; produce structured issue output for review and fix planning.

How do I install Codacy Issues Fetcher in Claude Code?

Run `npx skills add harumiWeb/exstruct --skill codacy-issues-fetcher -a claude-code`. Or copy the skill folder (.agents/skills/codacy-issues-fetcher in harumiWeb/exstruct) into .claude/skills/codacy-issues-fetcher in your project. Claude Code loads it when a task matches its description.

How do I install Codacy Issues Fetcher in Codex?

Run `npx skills add harumiWeb/exstruct --skill codacy-issues-fetcher -a codex`. Or copy the skill folder (.agents/skills/codacy-issues-fetcher in harumiWeb/exstruct) into .agents/skills/codacy-issues-fetcher in your project. Codex loads it when a task matches its description.

Can I use Codacy Issues Fetcher 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 harumiWeb/exstruct --skill codacy-issues-fetcher -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/codacy-issues-fetcher, .gemini/skills/codacy-issues-fetcher, .github/skills/codacy-issues-fetcher and .opencode/skills/codacy-issues-fetcher in your project.

What does Codacy Issues Fetcher need to run?

Going by SKILL.md and its folder, Codacy Issues Fetcher needs the command-line tools its instructions call (python) and credentials named CODACY_API_TOKEN. Our summary lists: Python 3; A credential in CODACY_API_TOKEN.

Does Codacy Issues Fetcher 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 Codacy Issues Fetcher 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 Codacy Issues Fetcher use?

Codacy Issues Fetcher is published under the BSD-3-Clause licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Codacy Issues Fetcher use?

About 589 tokens (SKILL.md is roughly 2.4k 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 Codacy Issues Fetcher?

Skills that share tags, products or a category with Codacy Issues Fetcher: Git PR Flow (wgzhao/Addax, 1.4k stars), Auto Email Sender Release (JunieXD/AutoEmailSender, 149 stars), Markdown Without Hard Wraps (prisma/orm, 48k stars) and Finishing a Development Branch (obra/superpowers, 296k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Codacy Issues Fetcher?

harumiWeb (a GitHub user) maintains it in harumiWeb/exstruct, which has 201 GitHub stars. The repository holds 8 skills in this directory. The repository was last updated on October 4, 2026.

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