Getting it into your agent
This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.
/plugin marketplace add spinningrachel/career-engine/plugin install career-engineWrote 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/spinningrachel/career-engine/source-open-roles)<a href="https://agentmods.dev/skills/spinningrachel/career-engine/source-open-roles"><img src="https://agentmods.dev/badge/skills/spinningrachel/career-engine/source-open-roles/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/spinningrachel/career-engine/source-open-roles"><img src="https://agentmods.dev/badge/skills/spinningrachel/career-engine/source-open-roles.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 | $0.00058 | $0.05935 |
| Opus 5 | $0.00029 | $0.02967 |
| Sonnet 5 | $0.00012 | $0.01187 |
| Haiku 4.5 | $0.00006 | $0.00594 |
Grade A, and why
source-open-roles 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 8d 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 — 355 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Source Open Roles — Search Logic
Registry: this pipeline is listed in the Pipeline Registry in
skills/career-engine/SKILL.md. Actions owned by another pipeline's registry row are out of scope here — route to that pipeline instead of improvising.
What This Skill Is For
Sourcing surfaces open roles that match the user's preferences — it is the top-of-funnel step that feeds the application pipeline. It does not research, coach, write, or score fit. Its job is to return a ranked list of roles that are (a) worth looking at and (b) not already in the pipeline.
Preferences Schema
All sourcing preferences live in ${CAREER_DATA}/references/pipeline-preferences.json — there is no separate local preferences store. The relevant keys:
{
"target_titles": ["Head of Marketing", "VP Marketing"],
"title_variants": {"Head of Marketing": ["VP Marketing", "Marketing Director", "Head of Growth", "GTM Lead"]},
"remote_preference": "remote only",
"exclusion_patterns": ["junior", "intern", "contract"],
"default_search_time_range": "last week",
"location_compatibility": {"my_location": "City, Country"},
"database_id": "<the Notion/tracker database id, or empty to disable deduplication>",
"screening_answers": {"compensation_floor": "<minimum base, or empty for no minimum>"}
}
Salary floor. There is no separate minSalary field — the scoring rubric's salary signal reads screening_answers.compensation_floor directly. Leave it blank for no minimum.
Database id. Read database_id (legacy notion_database_id) from pipeline-preferences.json — the same single source the rest of the plugin uses. If it's empty, dedup is skipped and the agent notes it.
Keyword Expansion
Target titles are searched as a variant set, not verbatim. The same role surfaces under many titles — "Product Marketing Manager," "Technical PMM Director," "Senior PMM," "GTM Enablement Lead," "Head of Marketing" — so a verbatim search for one misses the rest. Expanding at search time (not only fuzzy-matching at scoring time) is the single highest-payoff widener.
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.
- 8d ago First seen · 355 lines · 58 tokens per session scan A 85ea35f103f2
source-open-roles is a skill published in the GitHub repository spinningrachel/career-engine (4 stars, last pushed 27d ago), licensed MIT. It adds 58 tokens to every session and 5,935 once invoked, about $0.0003 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.
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