fix-issue

fix-issue is a skill for Claude Code, Codex from yonatangross/orchestkit. It costs 82 tokens per session (6,185 once invoked), scanned A, original, MIT.

Fixes GitHub issues using parallel analysis agents for root cause investigation, code exploration, and regression detection. Reads issue context from gh CLI, searches codebase and memory for related patterns, generates a fix with tests, and links the resolution back to the issue via PR. Includes prevention analysis to…

Skill for Claude CodeCodex

Installs and runs on its own, but its text points at files inside the plugin that ships it — anything it tells you to read at a ${CLAUDE_PLUGIN_ROOT} path is only there once the plugin is installed.

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/yonatangross/orchestkit/fix-issue
Any agent
npx skills add yonatangross/orchestkit --skill fix-issue
Clone the repo
git clone --depth 1 https://github.com/yonatangross/orchestkit

Made for: Claude Code, 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 fix-issue

README.md
[![agentmods](https://agentmods.dev/badge/skills/yonatangross/orchestkit/fix-issue.svg)](https://agentmods.dev/skills/yonatangross/orchestkit/fix-issue)
Your own site
<a href="https://agentmods.dev/skills/yonatangross/orchestkit/fix-issue"><img src="https://agentmods.dev/badge/skills/yonatangross/orchestkit/fix-issue.svg" alt="Measured on agentmods" height="20"></a>
Per session 82 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 6,185 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin unknown 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 $0.00082 $0.06185
Opus 5 $0.00041 $0.03093
Sonnet 5 $0.00016 $0.01237
Haiku 4.5 $0.00008 $0.00619

Measured today against content hash 64844c624f32, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

fix-issue 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 today.

The scan reads SKILL.md. This mod also ships 3 executable files (scripts/prior_fix_lookup.py, scripts/signature_lib.py, scripts/similar-issue-finder.sh), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

plugins/ork/skills/fix-issue/SKILL.md · 481 lines

How it starts

The opening of the file, as written. The whole thing — 481 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Fix Issue

Systematic issue resolution with hypothesis-based root cause analysis, similar issue detection, and prevention recommendations.

Quick Start

/ork:fix-issue 123
/ork:fix-issue 456

Opus 5: Root cause analysis uses native adaptive thinking. Dynamic token budgets scale with context window for thorough investigation.

CC ≥ 2.1.119 multi-host note (M122): Issue fetching works against GitHub, GitLab, Bitbucket, and GitHub Enterprise. The argument is either a numeric ID (use the configured default remote's host) or a full URL (parsed via parsePrUrl/parseIssueUrl from src/hooks/src/lib/pr-host-parser.ts). Branch on the detected host family for the right CLI: gh issue view (GitHub/GHE), glab issue view (GitLab), bb issue view (Bitbucket). Reference: src/skills/chain-patterns/references/pr-from-platform.md.

Argument Resolution

ISSUE_NUMBER = "$ARGUMENTS[0]"  # e.g., "123" (CC 2.1.59 indexed access)
# $ARGUMENTS contains the full argument string
# $ARGUMENTS[0] is the first space-separated token

STEP -1: MCP Probe + Resume Check

Run BEFORE any other step. Detect available MCP servers and check for resumable state.

# Probe MCPs (parallel — all in ONE message):
# memory is alwaysLoad in .mcp.json (CC 2.1.121+, #1541) — probe below kept as fallback for older CC:
ToolSearch(query="select:mcp__memory__search_nodes")
ToolSearch(query="select:mcp__context7__resolve-library-id")

# Write capability map:
Write(".claude/chain/capabilities.json", JSON.stringify({
  "memory": <true if found>,
  "context7": <true if found>,
  "timestamp": now()
}))

# Check for resumable state:
Read(".claude/chain/state.json")
# If exists and skill == "fix-issue":
#   Read last handoff, skip to current_phase
#   Tell user: "Resuming from Phase {N}"
# If not exists: write initial state
Write(".claude/chain/state.json", JSON.stringify({
  "skill": "fix-issue",
  "issue": ISSUE_NUMBER,
  "current_phase": 1,
  "completed_phases": [],
  "capabilities": capabilities
}))

Read the full file on GitHub · 481 lines

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. today First seen · 481 lines · 82 tokens per session scan A 64844c624f32

Subscribe to this mod's changes

fix-issue is a skill published in the GitHub repository yonatangross/orchestkit (225 stars, last pushed today), licensed MIT. It adds 82 tokens to every session and 6,185 once invoked, about $0.0004 per session on Opus 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 2026-09-03.

Related

Other skills, from other repositories

issue

Use when starting a chain from a GitHub issue — turning an issue URL or number into a triaged, planned, dispatched, and reviewed pull request. Classifies the thread (bug → root-cause discipline, feature → plan chain, question → drafted reply), synthesizes a spec from the issue's own acceptance criteria, then runs the…

jeremylongshore/tons-of-skills-marketplace · 115 tokens

github

Prepare GitHub issues, pull requests, reviews, and release notes for Zhin projects. Use when asked to write an issue, PR description, changelog entry, or review comment. Triggers: 写 issue, PR 描述, 提 PR, release notes, gh pr.

zhinjs/zhin · 58 tokens

codeflow-maintainer

OpenClaw-only maintainer PR workflow modes and skills. For OpenCoven/coven PR creation, redirect to skills/pr-agent, the Coven PR Readiness Agent.

OpenCoven/coven · 39 tokens

maintainer-bar

Operate the MaintainerBar SwiftUI menu bar app and its ghcrawl backend. Use for: refreshing issue clusters, searching issues semantically, checking repo pulse, managing notifications, building/running the app, and coordinating ghcrawl data pipelines.

OpenCoven/coven · 52 tokens

pr-agent

Coven PR Readiness Agent for assembling agent-ready OpenCoven pull requests. Use when preparing PR context, verification, risk, rollback, and handoff material for OpenCoven/coven.

OpenCoven/coven · 42 tokens

new-gh-issue-orchestration

Orchestrates a GitHub-issue-driven delivery workflow from issue intake to PR creation using reviewer-first then worker execution. Invoked when the user provides a GitHub issue link/number and asks to start end-to-end delivery.

soulcodex/agentic · 54 tokens