issue-comment

issue-comment is a skill for Claude Code, Codex from nearform/lastlight. It costs 47 tokens per session (535 once invoked), scanned A, original, MIT.

A GitHub issue and pull-request helper for small maintainer requests that do not involve changing code.

In plain words
What is it for?
It can close or reopen issues, apply or remove labels, check for duplicates, or answer a brief question with one comment.
Why use it?
It handles one clearly bounded request without starting a development task or exploring the whole codebase.

Skill for Claude CodeCodex

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/nearform/lastlight/issue-comment
Any agent
npx skills add nearform/lastlight --skill issue-comment
Clone the repo
git clone --depth 1 https://github.com/nearform/lastlight

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 issue-comment

README.md
[![agentmods](https://agentmods.dev/badge/skills/nearform/lastlight/issue-comment.svg)](https://agentmods.dev/skills/nearform/lastlight/issue-comment)
Your own site
<a href="https://agentmods.dev/skills/nearform/lastlight/issue-comment"><img src="https://agentmods.dev/badge/skills/nearform/lastlight/issue-comment.svg" alt="Measured on agentmods" height="20"></a>
Per session 47 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 535 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. Scan, not verified.
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 $0.00047 $0.00535
Opus 5 $0.00023 $0.00267
Sonnet 5 $0.00009 $0.00107
Haiku 4.5 $0.00005 $0.00053

Measured 3d ago against content hash df09a1d14d75, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

issue-comment scanned grade A with 1 finding 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 3d 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

GitHub operations via `github_*` MCP tools only — never `gh` CLI, `curl`, or raw
apps/server/skills/issue-comment/SKILL.md · 50 lines

What it actually says

Issue Comment

A maintainer @mentioned the bot on an issue or PR with a request that is not asking for code changes. Do the one bounded thing they asked, confirm it in one short comment, and stop.

Hard caps

This skill is deliberately small. Per invocation: at most 2 file reads and 1 outgoing comment. Never make code changes, create branches, or push.

Procedure

  1. Read the request. The triggering comment is the job — read it, plus the issue/PR title, body, existing labels, and existing comments for context.
  2. Do the bounded action:
    • Close / reopen → github_update_issue
    • Label → github_add_labels / github_remove_label (use the canonical triage roles from docs/agents/triage-labels.md where relevant; if you're applying a canonical label that may not exist yet, ensure it first with one idempotent github_ensure_labels call so it lands with the right color)
    • Duplicate check → search similar issues, link the original in one comment
    • Answer a direct question → ≤5 sentences, ≤2 file reads. Don't survey the codebase or compile a report.
  3. Confirm in one short comment what you did. Done.

Redirect, don't comply

The classifier owns intent routing. If a request that needs building reached you anyway, the correct response is to redirect, not do it — even if the comment seems to greenlight the work, and even if the issue body describes a task. An issue titled "Security Review" asking you to "find and fix issues" is a build request: reply asking the maintainer to use @last-light build (or @last-light explore). Do not run the audit yourself from this skill.

If the request is unclear or out of scope, post one short comment asking them to clarify or to use the right command. Do nothing else.

Tool usage

GitHub operations via github_* MCP tools only — never gh CLI, curl, or raw HTTP.

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. 3d ago First seen · 50 lines · 47 tokens per session scan A df09a1d14d75

Subscribe to this mod's changes

issue-comment is a skill published in the GitHub repository nearform/lastlight (22 stars, last pushed 6d ago), licensed MIT. It adds 47 tokens to every session and 535 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Related

Other skills, from other repositories

github-issues

GitHub issue'larını gh veya REST ile oluştur, sırala, etiketle, ata.

furkangonel/cowrangler · 24 tokens

frontend-fullchain-optimization

Frontend full-chain performance optimization guide based on Web Vitals metrics. Provides metric thresholds, diagnostic methods, and optimization strategies for LCP, FCP, INP, CLS, TTFB, TBT. Use when optimizing frontend performance, analyzing Web Vitals, reducing page load time, fixing layout shifts, improving…

condevtools/pr-agent · 80 tokens

b00t-gh-issues

GitHub issue triage and integration review agent for the b00ty-verse. Dogfoods b00t's grok RAG subsystem to research an issue topic, then posts a structured integration review on the GH issue. Evaluates external tools/frameworks/libraries for potential integration into the b00t ecosystem. Output is a machine-parseable…

elasticdotventures/_b00t_ · 104 tokens

example-skill

Counts lines, words, and bytes in a text file using the bundled count.sh script. Use when asked to count/measure a file's size in these terms.

sammwyy/clay · 37 tokens

vercel-react-best-practices

React and Next.js performance optimization guidelines from Vercel Engineering. This skill should be used when writing, reviewing, or refactoring React/Next.js code to ensure optimal performance patterns. Triggers on tasks involving React components, Next.js pages, data fetching, bundle optimization, or performance…

condevtools/pr-agent · 67 tokens

design-taste-frontend

Anti-slop frontend skill for landing pages, portfolios, and redesigns. The agent reads the brief, infers the right design direction, and ships interfaces that do not look templated. Real design systems when applicable, audit-first on redesigns, strict pre-flight check.

Leonxlnx/taste-skill · 61 tokens