openclaw-github-dedupe

openclaw-github-dedupe is a skill for Claude Code, Codex from vincentkoc/dotskills. It costs 68 tokens per session (5,737 once invoked), scanned A, original, MIT.

A workflow for reviewing groups of related GitHub issues and pull requests, which are requests to change code. It identifies duplicates and recommends or carries out appropriate follow-up actions while keeping contributor credit visible.

In plain words
What is it for?
Use it to triage an issue and pull-request cluster, select the canonical item, update duplicate or related statuses, complete approved fixes or merges, and clean up afterward.
Why use it?
It reduces repeated work and makes decisions about closing, merging, or fixing related items traceable to evidence.

Skill for Claude CodeCodex

Written for Claude Code and Codex: shipped in a Claude Code plugin, but also agents/openai.yaml present. Also seen: mentions subagents; mentions AGENTS.md; mentions Codex.

Part of the openclaw-github-dedupe plugin — 1 skill, 5 agents shipped together

Good fit Use it to triage an issue and pull-request cluster, select the canonical item, update duplicate or related statuses, complete approved fixes or merges, and clean up afterward.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/vincentkoc/dotskills/openclaw-github-dedupe
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 vincentkoc/dotskills --skill openclaw-github-dedupe
Clone the repo
git clone --depth 1 https://github.com/vincentkoc/dotskills

Made for: Claude Code, Codex.

Or install openclaw-github-dedupe, the plugin that ships this one along with the rest of its 1 skill, 5 agents.

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 openclaw-github-dedupe

README.md
[![agentmods](https://agentmods.dev/badge/skills/vincentkoc/dotskills/openclaw-github-dedupe/github.svg)](https://agentmods.dev/skills/vincentkoc/dotskills/openclaw-github-dedupe)
Your own site
<a href="https://agentmods.dev/skills/vincentkoc/dotskills/openclaw-github-dedupe"><img src="https://agentmods.dev/badge/skills/vincentkoc/dotskills/openclaw-github-dedupe/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 openclaw-github-dedupe

Your own site · 80×15
<a href="https://agentmods.dev/skills/vincentkoc/dotskills/openclaw-github-dedupe"><img src="https://agentmods.dev/badge/skills/vincentkoc/dotskills/openclaw-github-dedupe.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 68 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 5,737 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 warn 7 Sept 2026
SkillSpector: 2 findings, up to high

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • high Memory Poisoning · line 388
    Skill manipulates agent memory, state, or stored context. Memory corruption can alter personality, override safety rules, or cause unpredictable behavior.
    Fix: Protect agent memory and state from modification by untrusted content. Use read-only memory for critical instructions and validate all state changes.
  • medium Excessive Agency · line 93
    Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.
    Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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 $0.00068 $0.05737
Opus 5.5 $0.00027 $0.02295
Sonnet 5.5 $0.00014 $0.01147
Haiku 4.5 $0.00007 $0.00574

Measured 1mo ago against content hash 734752c8759d, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

openclaw-github-dedupe 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.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/alias.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.

skills/openclaw-github-dedupe/SKILL.md · 505 lines

How it starts

The opening of the file, as written. The whole thing — 505 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Issue/PR Cluster Deduper

Use this skill when a cluster of GitHub issues and pull requests has been reported for a common failure mode (Slack, iMessage, support threads, or manual list), and you need an evidence-based dedupe recommendation, execution pass, or autonomous closeout run.

Purpose

Provide a consistent, evidence-driven triage pass for issue and PR clusters so duplicate work is folded, contributor credit is preserved, and cleanup actions stay auditable.

Execution is command-led and conservative: drive decisions from gh readbacks plus deterministic file/metadata checks only, and avoid speculative local analysis beyond triage logic.

Autonomous mode is different from broad dedupe: it starts from user-provided links/refs, follows only links found inside those refs, first decides whether the cluster is still viable and needed against current main, then drives the selected fix/merge/closure path to completion when repo policy allows.

Primary goal: make every run action-ready with explicit per-item actions, links, and command outcomes.

Vision

Treat each cluster as a triage system, not a documentation exercise. The expected behavior is deterministic classification, auditable comment text, safe mutation flow, and fast operator comprehension.

Principles (read before execution)

These are defined in principles.md:

  • Evidence over narrative
  • Root-cause alignment over title similarity
  • Credit-preserving attribution
  • Safe defaults (dry-run and blockers)
  • Complete audit trail in comments and labels
  • Humans first: communicate like a senior developer advocate, not a script.

Read constitution.md for governance requirements and decision quality rules before choosing final outcomes.

Operator experience and communication defaults

This workflow is designed for high-velocity maintainers and external contributors:

  • Keep every reply short, clear, and respectful.
  • Lead with what happened, then why.
  • Include a plain-English next step and reopen path.
  • Avoid abrupt or accusatory language, especially on duplicates.
  • Never hide uncertainty; if blocked, say what is missing and what you need next.
  • Treat the assistant as a Developer Experience lead: helpful, practical, and direct without sounding mechanical.
  • Use examples as style guidance, not templates to paste verbatim.
  • Vary sentence ordering and opener lines per message so repeated runs do not sound identical.
  • Do not repeat the exact same message body twice in one cluster run unless no safe variation is possible.
  • Use short, conversational paragraphs (2-4 paragraphs), and avoid one-liner robotic templates.
  • If intent is clear, keep tone warm and explanatory even when issuing a close.

Read the full file on GitHub · 505 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 Changed · +4 lines 734752c8759d
  2. 1mo ago First seen · 501 lines · 68 tokens per session scan A a2dc805890a1

Subscribe to this mod's changes

openclaw-github-dedupe is a skill published in the GitHub repository vincentkoc/dotskills (109 stars, last pushed 5d ago), licensed MIT. It adds 68 tokens to every session and 5,737 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 2026-08-30.