MCP-Linkedin: Skill for Claude Code

.agents/skills/triage-reviews/SKILL.md

triage-reviews is a skill for Claude Code from kaistenberg/MCP-Linkedin. It costs 24 tokens per session (1,442 once invoked), scanned A, a copy of triage-reviews, Apache-2.0.

A workflow for reviewing comments left on a GitHub pull request. It checks each finding against the current code and documentation, then handles valid findings.

In plain words
What is it for?
It is for grouping and verifying review feedback, correcting confirmed problems, and pushing the resulting changes. The input says it can also commit and push, so it changes the repository.
Why use it?
It gathers comments from the different places reviewers can post them and filters out findings that are duplicates or no longer apply.

Skill for Claude Code

Written for Claude Code: argument-hint in frontmatter. Also seen: mentions CLAUDE.md; installed under .agents/ (shared by several agents).

This is kaistenberg/MCP-Linkedin's own configuration. It tells Claude Code how to work on MCP-Linkedin itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything MCP-Linkedin configures →

Reuse

Borrowing it

Nothing to install: this file belongs to kaistenberg/MCP-Linkedin. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/kaistenberg/MCP-Linkedin/main/.agents/skills/triage-reviews/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/kaistenberg/MCP-Linkedin

Made for: Claude Code.

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 triage-reviews

README.md
[![agentmods](https://agentmods.dev/badge/skills/kaistenberg/mcp-linkedin/triage-reviews/github.svg)](https://agentmods.dev/skills/kaistenberg/mcp-linkedin/triage-reviews)
Your own site
<a href="https://agentmods.dev/skills/kaistenberg/mcp-linkedin/triage-reviews"><img src="https://agentmods.dev/badge/skills/kaistenberg/mcp-linkedin/triage-reviews/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 triage-reviews

Your own site · 80×15
<a href="https://agentmods.dev/skills/kaistenberg/mcp-linkedin/triage-reviews"><img src="https://agentmods.dev/badge/skills/kaistenberg/mcp-linkedin/triage-reviews.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 24 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,442 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.
Origin 100% copy Near-identical to another mod 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 $0.00024 $0.01442
Opus 5 $0.00012 $0.00721
Sonnet 5 $0.00005 $0.00288
Haiku 4.5 $0.00002 $0.00144

Measured 10d ago against content hash 82583f75645b, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

triage-reviews 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 10d 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.

Origin

This is a copy

100% identical to triage-reviews — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

.agents/skills/triage-reviews/SKILL.md · 128 lines

How it starts

The opening of the file, as written. The whole thing — 128 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Triage PR Review Comments

Fetch all review comments on the current PR, verify each finding against real code, fix valid issues, and push.

Phase 1: Gather Comments

  1. Determine the PR number:

    • Use $ARGUMENTS if provided
    • Otherwise: gh pr view --json number --jq .number
  2. Fetch ALL comments (reviewers post in multiple places):

    gh api --paginate repos/{owner}/{repo}/pulls/{pr}/reviews
    gh api --paginate repos/{owner}/{repo}/pulls/{pr}/comments
    gh api --paginate repos/{owner}/{repo}/issues/{pr}/comments
    
  3. Extract unique findings — deduplicate across Copilot, Greptile, and human reviewers. Group by file and line.

Phase 2: Verify Each Finding

For EVERY finding, verify against real code before accepting or rejecting:

  1. Read the actual code at the referenced file:line
  2. Check if the issue still exists — it may already be fixed in a later commit
  3. Verify correctness using:
    • Code analysis (read surrounding context, trace call paths)
    • Run btca resources to see what's available, then btca ask -r <resource> -q "..." for library/framework questions
    • Web search for API behavior, language semantics, or CVEs
  4. Classify each finding:
    • Valid — real bug, real gap, or real improvement needed
    • False positive — reviewer misread the code, outdated reference, or style preference

Phase 3: Fix & Ship

  1. Fix all Valid findings
  2. Run the project's lint/test commands (check CLAUDE.md for exact commands)
    • If lint/tests fail, fix the failures before committing
    • If a failure cannot be fixed automatically, skip that fix and report it as Valid (unfixed) in the Phase 4 table
  3. git add only changed files, git commit with message:
    fix: Address PR review feedback
    
    - <one-line summary per fix>
    
  4. Push: gt submit (or git push if not using Graphite)

Phase 3.5: Reply on each thread, then resolve it

Pushing the fix isn't enough. Each inline review comment lives in its own thread that GitHub keeps showing as "Unresolved" until someone explicitly resolves it. The skill must close that loop for every Valid and False-positive finding so the PR view actually reflects what was triaged.

Read the full file on GitHub · 128 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. 10d ago First seen · 128 lines · 24 tokens per session scan A 82583f75645b

Subscribe to this mod's changes

triage-reviews is a skill published in the GitHub repository kaistenberg/MCP-Linkedin (0 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 24 tokens to every session and 1,442 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to triage-reviews, differing in 0 lines, and is treated as a copy.