chainlink-worker

chainlink-worker is a skill for Claude Code, Codex from tkellogg/open-strix. It costs 64 tokens per session (694 once invoked), scanned A, original, MIT.

A worker that takes ready Chainlink issues, sends them to Codex coding sessions, and continues through review until approval. Chainlink is an issue-tracking and work-coordination system in this workflow.

In plain words
What is it for?
Use it to run or stop an autonomous backlog worker, route issues to repositories, monitor sessions, and handle review rounds.
Why use it?
It removes the need to manually claim issues, start coding sessions, monitor progress, and send work through repeated reviews.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions Codex.

Good fit Use it to run or stop an autonomous backlog worker, route issues to repositories, monitor sessions, and handle review rounds.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/tkellogg/open-strix/chainlink-worker
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 tkellogg/open-strix --skill chainlink-worker
Clone the repo
git clone --depth 1 https://github.com/tkellogg/open-strix

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 chainlink-worker

README.md
[![agentmods](https://agentmods.dev/badge/skills/tkellogg/open-strix/chainlink-worker/github.svg)](https://agentmods.dev/skills/tkellogg/open-strix/chainlink-worker)
Your own site
<a href="https://agentmods.dev/skills/tkellogg/open-strix/chainlink-worker"><img src="https://agentmods.dev/badge/skills/tkellogg/open-strix/chainlink-worker/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 chainlink-worker

Your own site · 80×15
<a href="https://agentmods.dev/skills/tkellogg/open-strix/chainlink-worker"><img src="https://agentmods.dev/badge/skills/tkellogg/open-strix/chainlink-worker.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 64 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 694 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: 1 finding, up to medium

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 →

  • medium MCP Rug Pull · line 42
    npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.
    Fix: Pin the version: npx @scope/[email protected]
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 $0.00064 $0.00694
Opus 5.5 $0.00026 $0.00278
Sonnet 5.5 $0.00013 $0.00139
Haiku 4.5 $0.00006 $0.00069

Measured 1mo ago against content hash ea531827f1e4, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

chainlink-worker 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 7 executable files (config.py, poller.py, prompt_builder.py, …), 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.

optional-skills/chainlink-worker/SKILL.md · 79 lines

How it starts

The opening of the file, as written. The whole thing — 79 lines — stays where its author put it; the contents beside it link to each section on GitHub.

This skill turns chainlink issues into Codex work. It claims one issue at a time, routes it to the right repo, waits for Codex to finish, then keeps the same session alive through review rounds.

Files

  • worker.py — main orchestration loop
  • prompt_builder.py — initial and review prompt builders
  • config.py — TOML config loader
  • poller.py — review notifier for Keel
  • pollers.json — poller registration

Start

From this skill directory, run:

uv run python worker.py

To use a non-default config file:

uv run python worker.py --config ~/.config/chainlink-worker/config.toml

The worker uses ~/.config/chainlink-worker/config.toml by default.

Stop

Send SIGINT or SIGTERM to the worker process. It exits cleanly after the current sleep or Codex poll interval.

Monitor

  • Watch the worker stdout for lifecycle events like issue_claimed, prompt_complete, and review_approved
  • Check chainlink session status --json in your chainlink working directory
  • Check npx acpx codex sessions show issue-<id> in the routed repo
  • Check chainlink show <id> --json for labels, comments, and milestone context

Review Workflow

  1. Install the skill and reload pollers so chainlink-review starts firing.
  2. When the poller reports an issue, inspect the repo changes and the Codex session.
  3. If changes are needed, add a review comment in chainlink:
# cd to your chainlink working directory
chainlink issue comment <id> "Please add focused regression coverage for ..." --kind human
  1. The worker removes ready-for-review, re-prompts the same Codex session, then restores ready-for-review.
  2. Approve with an explicit approval comment. Recommended:
# cd to your chainlink working directory
chainlink issue comment <id> "APPROVED" --kind resolution

The worker closes the issue and then closes the Codex session on the next poll.

Repo Routing

Configure repo routing in [repos] inside config.toml.

Read the full file on GitHub · 79 lines

Files

What ships with it

8 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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 · 79 lines · 64 tokens per session scan A ea531827f1e4

Subscribe to this mod's changes

chainlink-worker is a skill published in the GitHub repository tkellogg/open-strix (93 stars, last pushed 2mo ago), licensed MIT. It adds 64 tokens to every session and 694 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.

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