next

next is a skill for Claude Code from rube-de/cc-skills. It costs 83 tokens per session (1,740 once invoked), scanned A, original, MIT.

An issue-triage helper for GitHub, a service where software projects track bugs and tasks. It examines open issues, maps which ones depend on others, detects circular dependencies, and recommends what to do next.

In plain words
What is it for?
Use it to review open GitHub issues, identify work that is ready to start, choose high-impact tasks, and optionally assign a selected issue.
Why use it?
It reduces the work of manually sorting issues and spotting tasks that are blocked. Its ranking considers factors such as whether an issue unblocks others, priority, type, age, and milestone.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: names the AskUserQuestion tool.

Part of the pm plugin — 5 skills shipped together

Good fit Use it to review open GitHub issues, identify work that is ready to start, choose high-impact tasks, and optionally assign a selected issue.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/rube-de/cc-skills/next
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.

Any agent
npx skills add rube-de/cc-skills --skill next
Clone the repo
git clone --depth 1 https://github.com/rube-de/cc-skills

Made for: Claude Code.

Or install pm, the plugin that ships this one along with the rest of its 5 skills.

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 next

README.md
[![agentmods](https://agentmods.dev/badge/skills/rube-de/cc-skills/next/github.svg)](https://agentmods.dev/skills/rube-de/cc-skills/next)
Your own site
<a href="https://agentmods.dev/skills/rube-de/cc-skills/next"><img src="https://agentmods.dev/badge/skills/rube-de/cc-skills/next/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 next

Your own site · 80×15
<a href="https://agentmods.dev/skills/rube-de/cc-skills/next"><img src="https://agentmods.dev/badge/skills/rube-de/cc-skills/next.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 83 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,740 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 $0.00083 $0.01740
Opus 5.5 $0.00033 $0.00696
Sonnet 5.5 $0.00017 $0.00348
Haiku 4.5 $0.00008 $0.00174

Measured 1mo ago against content hash 9dae9ef72f01, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

next 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 1mo 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.

plugins/pm/skills/next/SKILL.md · 155 lines

How it starts

The opening of the file, as written. The whole thing — 155 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Next: Issue Triage & Recommendation

Analyze open GitHub issues, build a dependency graph, and recommend the highest-impact issue to work on next.

Workflow

1. Fetch & Pre-process → 2. Build Dependency Graph → 3. Detect Cycles
→ 4. Rank Issues → 5. Present Recommendations → 6. Select & Assign

Step 1: Fetch and Pre-process Issues

Run the open-issues.sh script from the plugin's scripts/ directory:

# Auto-detect repository from current directory
sh "${CLAUDE_SKILL_DIR}/../../scripts/open-issues.sh"

# Or specify repository explicitly
sh "${CLAUDE_SKILL_DIR}/../../scripts/open-issues.sh" OWNER/REPO

# Include assigned issues in results
sh "${CLAUDE_SKILL_DIR}/../../scripts/open-issues.sh" --include-assigned

Validate the response:

  • Check stderr for a JSON error object — if present, abort with the error message (auth failures, missing tools, repo detection failures are handled by the script)
  • Extract and store the full JSON output as $ISSUES_DATA

Edge case — no issues: If .total_open == 0, report "No open issues found" (if --include-assigned was used) or "No unassigned issues found (try --include-assigned to include assigned items)" (default mode) and stop.

Edge case — 100+ issues: If .total_open >= 100, warn: "Results capped at 100 issues. Consider filtering by label or milestone for a broader view."

The JSON output contains pre-computed fields for each issue:

  • blocked_by, blocks — parsed from issue body patterns (Blocked by:, Blocks:, Depends on:)
  • blockers_resolved — true if all blockers are closed (not in the open issue set)
  • unblocked — true if no open blockers remain
  • age_days — days since issue creation
  • milestone_due_on — milestone due date (ISO 8601) or null
  • dependency_graph.edges — [[blocker, blocked], ...] pairs for graph analysis

Step 2: Build Dependency Graph

The script pre-computes blocked_by and blocks arrays per issue, and provides dependency_graph.edges as [[blocker, blocked], ...] pairs.

Read the full file on GitHub · 155 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. 1mo ago First seen · 155 lines · 83 tokens per session scan A 9dae9ef72f01

Subscribe to this mod's changes

next is a skill published in the GitHub repository rube-de/cc-skills (10 stars, last pushed 4d ago), licensed MIT. It adds 83 tokens to every session and 1,740 once invoked, about $0.0003 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 2026-08-31.

Related

Other skills, from other repositories

great_cto

Use when the CTO describes a feature, task, or project goal. Orchestrates the full SDLC pipeline automatically based on project type.

avelikiy/great_cto · 32 tokens

opportunity-solution-tree

Build an Opportunity Solution Tree (OST) to structure product discovery — map a desired outcome to customer opportunities, possible solutions, and experiments. Based on Teresa Torres' Continuous Discovery Habits. Use when the team is unclear what to build next, when multiple opportunities compete, or before writing a…

avelikiy/great_cto · 71 tokens

skeptical-triage

Reusable 3-round self-challenge + arbiter pattern for filtering false positives from findings/verdicts. Use when the cost of a false-positive gate block exceeds the cost of 4 extra LLM turns.

avelikiy/great_cto · 49 tokens

anti-patterns

Catalogue of known SDLC anti-patterns that greatcto agents must actively reject when reviewing architecture, plans, code, or post-mortems. Used by architect (pre-impl), pm (planning), senior-dev (impl), l3-support (post-incident).

avelikiy/great_cto · 59 tokens

cost-model

Standardized cost-estimation framework for greatcto plans. Forces explicit LLM cost, infra cost, human-supervision time, and the (defensible) human-equivalent comparison. Output format is parsable by the board's /api/cost path — must follow exactly.

avelikiy/great_cto · 59 tokens

done-blocked

Reusable reporting contract for any agent that hands work back to the pipeline. Forces ONE of two terminal statuses (DONE or BLOCKED) with a specific evidence shape. Stops vague "probably finished" and "kind of stuck" verdicts.

avelikiy/great_cto · 51 tokens