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.
npx skills add reggiechan74/JobOps --skill comparejobsgit clone --depth 1 https://github.com/reggiechan74/JobOpsWrote 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.
[](https://agentmods.dev/skills/reggiechan74/jobops/comparejobs)<a href="https://agentmods.dev/skills/reggiechan74/jobops/comparejobs"><img src="https://agentmods.dev/badge/skills/reggiechan74/jobops/comparejobs/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.
<a href="https://agentmods.dev/skills/reggiechan74/jobops/comparejobs"><img src="https://agentmods.dev/badge/skills/reggiechan74/jobops/comparejobs.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00012 | $0.03474 |
| Opus 5 | $0.00006 | $0.01737 |
| Sonnet 5 | $0.00002 | $0.00695 |
| Haiku 4.5 | $0.00001 | $0.00347 |
Grade A, and why
comparejobs 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.
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.
How it starts
The opening of the file, as written. The whole thing — 367 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Configuration
Read .jobops/config.json. If missing, stop with:
JOBOPS NOT CONFIGURED Run /jobops:setup to initialize your workspace.
Use config.directories.<key> for all file paths in this skill.
Use config.preferences.cultural_profile if this skill generates resume-style content.
Use config.preferences.default_jurisdiction if this skill has jurisdiction-sensitive logic (crisis/legal skills accept --jurisdiction=<ISO-3166-2> to override).
Your Task
Compare 2-4 assessment files produced by /assessjob (one per application folder under {config.directories.applications_root}) — or ideal-role archetype files produced by /idealjob — to analyze candidate performance across different roles, identify patterns, and provide strategic hiring recommendations.
Each {{ARGn}} is either:
- an application slug (
{Company}_{Role}_{Date}) — the skill loads{applications_root}/{{ARGn}}/assessment/assessment.md, or - a direct file path — any argument containing
/or ending in.mdis read as-is (e.g.,{career_analysis}/idealjob_{YYYYMMDD}_anchor.md)./idealjobarchetype files carry assessjob-compatible score keys (overall_score: <XX/200>,normalized_score: <XX%>) and compare like any assessment. Theirsynthetic: truefront matter MUST be called out in the report (label the column/row "synthetic benchmark") so an ideal-role benchmark is never mistaken for a real application.
WORKFLOW ARCHITECTURE
Phase 1 (Parallel batch): Load all 2-4 assessment files simultaneously
Phase 2 (Sequential): Extract and normalize scoring data
Phase 3 (Sequential): Perform comparative analysis + strategic insights
Phase 4 (Sequential): Generate report → Save
Dependency Rules:
- All assessment file reads are INDEPENDENT - load in single parallel batch
- Extraction can begin as soon as all files are loaded
- Analysis and report are sequential cognitive work
PROGRESS TRACKING (MANDATORY)
Before starting any work, create all tasks for user visibility:
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.
- 12d ago First seen · 367 lines · 12 tokens per session scan A 81c63323a3cd
comparejobs is a skill published in the GitHub repository reggiechan74/JobOps (25 stars, last pushed 3mo ago), licensed MIT. It adds 12 tokens to every session and 3,474 once invoked, about $0.0001 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 2026-08-30.
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