ww-apply-to-job

ww-apply-to-job is a skill for Codex from jerryzhang1011/waterlooworks-application-plugins. It costs 149 tokens per session (5,095 once invoked), scanned A, original, MIT.

A workflow for applying to WaterlooWorks Full-Cycle Service jobs using a logged-in Chrome session. It requires a WaterlooWorks job ID and the exact resume label to use.

In plain words
What is it for?
Use it to complete the WaterlooWorks portion of an application, including extracting an employer application link when one is provided.
Why use it?
It removes repetitive application steps while avoiding guesses about which resume or personal eligibility answers should be submitted.

Skill for Codex

Written for Codex: agents/openai.yaml present. Also seen: mentions subagents; mentions Codex.

Good fit Use it to complete the WaterlooWorks portion of an application, including extracting an employer application link when one is provided.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/jerryzhang1011/waterlooworks-application-plugins/ww-apply-to-job
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 jerryzhang1011/waterlooworks-application-plugins --skill ww-apply-to-job
Clone the repo
git clone --depth 1 https://github.com/jerryzhang1011/waterlooworks-application-plugins

Made for: 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 ww-apply-to-job

README.md
[![agentmods](https://agentmods.dev/badge/skills/jerryzhang1011/waterlooworks-application-plugins/ww-apply-to-job/github.svg)](https://agentmods.dev/skills/jerryzhang1011/waterlooworks-application-plugins/ww-apply-to-job)
Your own site
<a href="https://agentmods.dev/skills/jerryzhang1011/waterlooworks-application-plugins/ww-apply-to-job"><img src="https://agentmods.dev/badge/skills/jerryzhang1011/waterlooworks-application-plugins/ww-apply-to-job/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 ww-apply-to-job

Your own site · 80×15
<a href="https://agentmods.dev/skills/jerryzhang1011/waterlooworks-application-plugins/ww-apply-to-job"><img src="https://agentmods.dev/badge/skills/jerryzhang1011/waterlooworks-application-plugins/ww-apply-to-job.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 149 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 5,095 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 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 $0.00149 $0.05095
Opus 5 $0.00075 $0.02547
Sonnet 5 $0.00030 $0.01019
Haiku 4.5 $0.00015 $0.00509

Measured 12d ago against content hash 43c80e35a6a8, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

ww-apply-to-job 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 12d ago.

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

plugins/waterlooworks-jobs-codex/skills/ww-apply-to-job/SKILL.md · 172 lines

How it starts

The opening of the file, as written. The whole thing — 172 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Apply WaterlooWorks By Job ID

Use Chrome to apply to a WaterlooWorks Full-Cycle Service posting by job ID. This workflow is based on a recorded application flow and should target stable WaterlooWorks labels and page state, not screen coordinates.

If the posting says applicants must apply through WaterlooWorks and directly to the employer, do not treat that as a blocker. Complete the WaterlooWorks application, extract the employer application link, and paste that link in the chat for the user. Do not complete the external employer application unless the user separately asks for that.

Required Inputs

Require these before starting:

  • job_id: a valid WaterlooWorks job ID visible in the user's account.
  • resume_name: the exact or clearly unambiguous visible resume label to select, such as ai-fall2026.

Ask for any missing required input. Do not choose a resume by guessing from the job title.

Optional inputs:

  • prescreen_answers: answers to any pre-screening questions. If a pre-screening question appears and the user has not already provided the answer, pause and ask. Do not infer citizenship, work authorization, eligibility, demographic, or other personal answers from the recording.
  • coverletter_path: path to a PDF cover letter when the posting requires Cover Letter. Default to coverletter/<Company>-coverletter.pdf, where ww-write-cover-letter writes it.

Output when present:

  • direct_employer_apply_link: a link from Application Information -> Additional Application Information when the posting says Interested applicants must apply through WaterlooWorks and directly to the employer to be considered for this position.

User Input Logging

Whenever this skill asks the user for input, record the exact question and exact answer after the user replies. Do not edit the log file directly. Use the bundled helper — it lives in this skill's own scripts/ directory. Resolve <skill dir> to the absolute path shown as "Base directory for this skill:" when this skill loads. (Under a plugin install that path is inside the plugin cache; a literal .codex/skills/… path is only correct for a local repo checkout, so do not hardcode it.)

Read the full file on GitHub · 172 lines

Files

What ships with it

2 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. 12d ago First seen · 172 lines · 149 tokens per session scan A 43c80e35a6a8

Subscribe to this mod's changes

ww-apply-to-job is a skill published in the GitHub repository jerryzhang1011/waterlooworks-application-plugins (1 stars, last pushed 2mo ago), licensed MIT. It adds 149 tokens to every session and 5,095 once invoked, about $0.0007 per session on Opus 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 2026-08-31.