linkedin-mcp-server: Skill for Claude Code

.agents/skills/3-verify-pr-fix/SKILL.md

3-verify-pr-fix is a skill for Claude Code from stickerdaniel/linkedin-mcp-server. It costs 32 tokens per session (2,277 once invoked), scanned A, original, Apache-2.0.

A procedure for checking whether a proposed GitHub pull request really fixes a previously reproduced issue.

In plain words
What is it for?
Use it with a pull-request number or URL to inspect the linked issue, run the same test again, compare outputs, and give a fix verdict without editing or merging.
Why use it?
It compares the failing result with the result after the change and checks for remaining concerns such as unstable scraping behavior or overly broad scope.

Skill for Claude Code

Written for Claude Code: argument-hint in frontmatter. Also seen: positional $N argument; installed under .agents/ (shared by several agents).

This is stickerdaniel/linkedin-mcp-server's own configuration. It tells Claude Code how to work on linkedin-mcp-server 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 linkedin-mcp-server configures →

About the project

linkedin-mcp-server is a local MCP server that gives compatible AI assistants access to LinkedIn through a logged-in browser session. Agents can use it to inspect profiles and companies, search jobs, retrieve job details, and manage certain LinkedIn interactions. The catalogue add-ons operate this server and expose its LinkedIn workflows to agents.

stickerdaniel/linkedin-mcp-server · 4,014 stars · on GitHub

Reuse

Borrowing it

Nothing to install: this file belongs to stickerdaniel/linkedin-mcp-server. 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/stickerdaniel/linkedin-mcp-server/main/.agents/skills/3-verify-pr-fix/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/stickerdaniel/linkedin-mcp-server

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 3-verify-pr-fix

README.md
[![agentmods](https://agentmods.dev/badge/skills/stickerdaniel/linkedin-mcp-server/3-verify-pr-fix/github.svg)](https://agentmods.dev/skills/stickerdaniel/linkedin-mcp-server/3-verify-pr-fix)
Your own site
<a href="https://agentmods.dev/skills/stickerdaniel/linkedin-mcp-server/3-verify-pr-fix"><img src="https://agentmods.dev/badge/skills/stickerdaniel/linkedin-mcp-server/3-verify-pr-fix/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 3-verify-pr-fix

Your own site · 80×15
<a href="https://agentmods.dev/skills/stickerdaniel/linkedin-mcp-server/3-verify-pr-fix"><img src="https://agentmods.dev/badge/skills/stickerdaniel/linkedin-mcp-server/3-verify-pr-fix.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 32 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,277 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. 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: 3 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 Tool Misuse · line 76
    Tool parameters are crafted to achieve unintended or unsafe behavior. Parameter abuse can bypass intended safety checks (e.g. shell=True, --force, dangerous glob patterns).
    Fix: Validate all tool parameters against an allowlist. Reject dangerous parameter values (shell=True, --force, -rf /) and use safe defaults.
  • medium Data Exfiltration · line 109
    Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.
    Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
  • medium Data Exfiltration · line 119
    Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.
    Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
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 $0.00032 $0.02277
Opus 5.5 $0.00013 $0.00911
Sonnet 5.5 $0.00006 $0.00455
Haiku 4.5 $0.00003 $0.00228

Measured 24d ago against content hash c5fd0b91e6cf, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

3-verify-pr-fix 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 24d 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.

curl -s -D /tmp/verify-pr-$PR-headers -X POST http://127.0.0.1:$PORT/mcp \
Origin

Copies of this mod

5 near-identical copies found in the catalogue:

.agents/skills/3-verify-pr-fix/SKILL.md · 163 lines

How it starts

The opening of the file, as written. The whole thing — 163 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Verify a candidate PR

Review the packet, the candidate diff, and relevant tests. Live comparison against a captured baseline is optional. No edits, no merges, no pushes.

1. Resolve the PR and its linked issue

PR=$(echo "$ARGUMENTS" | sed -E 's|.*/||; s|#||g' | grep -oE '^[0-9]+' | head -1)
[ -z "$PR" ] && { echo "Invalid input: '$ARGUMENTS'. Pass a PR number or URL." >&2; exit 1; }
REPO=stickerdaniel/linkedin-mcp-server

gh pr view $PR --repo $REPO --json title,body,baseRefName,headRefName,headRepositoryOwner,mergeable,mergeStateStatus,additions,deletions,changedFiles,maintainerCanModify,statusCheckRollup

Extract the linked issue number from the PR body (Closes #, Fixes #, Resolves #, or plain #N). Call it ISSUE. If multiple, ask which one is the verification target.

Read that issue's packet and comments.

2. Packet, diff, and tests

This path does not need /tmp/repro-issue-$ISSUE-main.json. Absence of a local baseline limits the live branch, not the whole PR verdict. Do not create fake success or failure files.

gh pr diff $PR --repo $REPO
gh pr view $PR --repo $REPO --json files --jq '.files[].path'

Hard flags (any one downgrades a clean live pass to concerns):

  • Locale-dependent detection: == "Connect", in ["Pending", "Follow"], contains("1st"), aria-label="..." with translated text. Attribute presence is the locale-independent signal.
  • LinkedIn class-name selectors: .entity-result__item, .artdeco-button__text. Minimal generic selectors only (a[href*="/jobs/view/"]).
  • Multiple navigations behind one PERSON_SECTIONS / COMPANY_SECTIONS entry.
  • Missing tests beside the canonical owner from docs/linkedin-architecture.md.

A supplied capture or regression fixture can support a before-and-after claim within its scope. Protocol or startup failures are execution limits, not a pass.

This step is complete when the report can say whether the diff addresses the packet at this SHA, which audit flags apply, and whether a live comparison is still needed.

Read the full file on GitHub · 163 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. 24d ago Changed c5fd0b91e6cf
  2. 1mo ago Changed · -38 lines · -45 tokens per session 3495c70a3f0c
  3. 1mo ago Changed 281dc667707c
  4. 1mo ago First seen · 201 lines · 77 tokens per session scan A 156cac8c102f

Subscribe to this mod's changes

3-verify-pr-fix is a skill published in the GitHub repository stickerdaniel/linkedin-mcp-server (4,014 stars, last pushed yesterday), licensed Apache-2.0. It adds 32 tokens to every session and 2,277 once invoked, about $0.0001 per session on Opus 5.5. 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.

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