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 idealjobgit 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/idealjob)<a href="https://agentmods.dev/skills/reggiechan74/jobops/idealjob"><img src="https://agentmods.dev/badge/skills/reggiechan74/jobops/idealjob/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/idealjob"><img src="https://agentmods.dev/badge/skills/reggiechan74/jobops/idealjob.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 | $0.00036 | $0.03946 |
| Opus 5 | $0.00018 | $0.01973 |
| Sonnet 5 | $0.00007 | $0.00789 |
| Haiku 4.5 | $0.00004 | $0.00395 |
Grade A, and why
idealjob 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 11d 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 — 332 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).
Templates
For each template used by this skill, resolve the full path as:
{config.templates.base_dir}/{config.templates.active.<template_name>}/
Templates referenced by this skill: assessment_rubric_framework
Your Task
Run a clarity-gated preference interview, then synthesize THREE distinct, market-validated ideal-role archetypes — Anchor (highest-probability fit), Stretch (one level up), and Pivot (skills recombined into an adjacent field) — each generated by a parallel ideal-role-architect agent, self-scored against the 200-point assessment rubric, and packaged with live posting matches, a search kit, and gap-closing plans.
If {config.directories.resume_source} is missing or contains no files under Experience/, STOP with:
NO CAREER INVENTORY /idealjob needs your career inventory as evidence. Run /jobops:setup and populate the resume source folder first.
Output
Four flat files under {config.directories.career_analysis}/:
| File | Contents |
|---|---|
idealjob_{YYYYMMDD}.md |
Summary: interview record, cross-archetype comparison, gap-closing plans, comparejobs handoff |
idealjob_{YYYYMMDD}_anchor.md |
Anchor archetype: JD + alignment analysis + live matches + search kit |
idealjob_{YYYYMMDD}_stretch.md |
Stretch archetype: same structure |
idealjob_{YYYYMMDD}_pivot.md |
Pivot archetype: same structure |
If $1 is provided it becomes the summary path; archetype files derive from its basename plus _anchor / _stretch / _pivot suffixes (e.g., $1 = Career_Analysis/my_ideal.md → Career_Analysis/my_ideal_anchor.md).
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.
- 11d ago First seen · 332 lines · 36 tokens per session scan A 9dc8feee7181
idealjob is a skill published in the GitHub repository reggiechan74/JobOps (25 stars, last pushed 3mo ago), licensed MIT. It adds 36 tokens to every session and 3,946 once invoked, about $0.0002 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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