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.
npx agentmods add skills/yonatangross/orchestkit/fix-issuenpx skills add yonatangross/orchestkit --skill fix-issuegit clone --depth 1 https://github.com/yonatangross/orchestkitWrote 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.
[](https://agentmods.dev/skills/yonatangross/orchestkit/fix-issue)<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>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00082 | $0.06185 |
| Opus 5 | $0.00041 | $0.03093 |
| Sonnet 5 | $0.00016 | $0.01237 |
| Haiku 4.5 | $0.00008 | $0.00619 |
Grade A, and why
fix-issue scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured today.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 481 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Fix Issue
Systematic issue resolution with hypothesis-based root cause analysis, similar issue detection, and prevention recommendations.
Quick Start
/ork:fix-issue 123
/ork:fix-issue 456
Opus 5: Root cause analysis uses native adaptive thinking. Dynamic token budgets scale with context window for thorough investigation.
CC ≥ 2.1.119 multi-host note (M122): Issue fetching works against GitHub, GitLab, Bitbucket, and GitHub Enterprise. The argument is either a numeric ID (use the configured default remote's host) or a full URL (parsed via
parsePrUrl/parseIssueUrlfromsrc/hooks/src/lib/pr-host-parser.ts). Branch on the detected host family for the right CLI:gh issue view(GitHub/GHE),glab issue view(GitLab),bb issue view(Bitbucket). Reference:src/skills/chain-patterns/references/pr-from-platform.md.
Argument Resolution
ISSUE_NUMBER = "$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
}))
What ships with it
22 files 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.
- assets/commit-template.md 2.0 KB
- assets/rca-report-template.md 1.3 KB
- assets/runbook-entry-template.md 864 B
- checklists/fix-complete-checklist.md 1.0 KB
- references/agent-selection.md 1.9 KB
- references/agent-teams-rca.md 2.8 KB
- references/cc-enhancements.md 1.3 KB
- references/fix-blast-radius.md 2.5 KB
- references/fix-phases.md 7.0 KB
- references/hypothesis-rca.md 2.2 KB
- references/prevention-patterns.md 2.1 KB
- references/similar-issue-search.md 1.9 KB
- rules/_sections.md 1.0 KB
- rules/_template.md 339 B
- rules/evidence-gathering.md 2.5 KB
- rules/rca-fault-tree.md 3.8 KB
- rules/rca-fishbone.md 3.6 KB
- rules/rca-five-whys.md 3.3 KB
- scripts/prior_fix_lookup.py 6.2 KB runs code
- scripts/signature_lib.py 6.0 KB runs code
- scripts/similar-issue-finder.sh 3.4 KB runs code
- test-cases.json 2.5 KB
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.
- today First seen · 481 lines · 82 tokens per session scan A 64844c624f32
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.
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…
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.
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.
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.
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.
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.