exstruct: Skill for Codex

.agents/skills/codacy-issues-fetcher/SKILL.md

codacy-issues-fetcher is a skill for Codex from harumiWeb/exstruct. It costs 60 tokens per session (574 once invoked), scanned A, original, BSD-3-Clause.

A design-system reference for the melta UI style, covering colors, typography, spacing, accessibility contrast, and layout principles.

In plain words
What is it for?
Use it when choosing Tailwind classes for page backgrounds, cards, text, headings, borders, spacing, and component styling.
Why use it?
It provides shared visual decisions so interfaces remain consistent and readable across pages.

Skill for Codex

Written for Codex: agents/openai.yaml present. Also seen: installed under .agents/ (shared by several agents).

This is harumiWeb/exstruct's own configuration. It tells Codex how to work on exstruct itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything exstruct configures →

Needs its repository: it runs a file that does not travel with it, so clone the repository first. The line is python scripts/codacy_issues.py <org> <repo> --provider gh --min-level Warning.

Reuse

Borrowing it

Nothing to install: this file belongs to harumiWeb/exstruct. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/harumiWeb/exstruct/main/.agents/skills/codacy-issues-fetcher/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/harumiWeb/exstruct

Made for: Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for codacy-issues-fetcher

README.md
[![agentmods](https://agentmods.dev/badge/skills/harumiweb/exstruct/codacy-issues-fetcher/github.svg)](https://agentmods.dev/skills/harumiweb/exstruct/codacy-issues-fetcher)
Your own site
<a href="https://agentmods.dev/skills/harumiweb/exstruct/codacy-issues-fetcher"><img src="https://agentmods.dev/badge/skills/harumiweb/exstruct/codacy-issues-fetcher/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for codacy-issues-fetcher

Your own site · 80×15
<a href="https://agentmods.dev/skills/harumiweb/exstruct/codacy-issues-fetcher"><img src="https://agentmods.dev/badge/skills/harumiweb/exstruct/codacy-issues-fetcher.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 60 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 574 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00060 $0.00574
Opus 5.5 $0.00024 $0.00230
Sonnet 5.5 $0.00012 $0.00115
Haiku 4.5 $0.00006 $0.00057

Measured 2mo ago against content hash 343f7af6cc60, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

codacy-issues-fetcher scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

.agents/skills/codacy-issues-fetcher/SKILL.md · 55 lines

How it starts

The opening of the file, as written. The whole thing — 55 lines — stays where its author put it; the contents beside it link to each section on GitHub.

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.
# 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.

Read the full file on GitHub · 55 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 2mo ago First seen · 55 lines · 60 tokens per session scan A 343f7af6cc60

Subscribe to this mod's changes

codacy-issues-fetcher is a skill published in the GitHub repository harumiWeb/exstruct (204 stars, last pushed 26d ago), licensed BSD-3-Clause. It adds 60 tokens to every session and 574 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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