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 agentmods add commands/santifer/career-ops/career-ops-interview-prepgit clone --depth 1 https://github.com/santifer/career-opsWhat 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 | $0.00010 | $0.00059 |
| Opus 5 | $0.00005 | $0.00030 |
| Sonnet 5 | $0.00002 | $0.00012 |
| Haiku 4.5 | $0.00001 | $0.00006 |
Grade A, and why
career-ops-interview-prep 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 yesterday.
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.
What it actually says
Run Full Interview Prep
Run full interview prep for the following company and role:
$ARGUMENTS
Load the career-ops skill:
skill({ name: "career-ops" })
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.
- yesterday First seen · 16 lines · 10 tokens per session scan A de898649dcbb
career-ops-interview-prep is a command published in the GitHub repository santifer/career-ops (69,415 stars, last pushed 2d ago), licensed MIT. It adds 10 tokens to every session and 59 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.
Other commands, from other repositories
outcome
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add-template
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gmail-sync
You are scanning the user's Gmail for status signals on tracked job applications (interview invites, assessment links, offers, rejections) and, once approved, writing the detected changes into jobsearchtracker.csv and documents/applications/ /outcome.md - the same two places /outcome writes to, in the same schema.
rank
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expand
You are enriching the candidate profile by discovering competencies hidden in documents and public online presence. This command is additive only — it never modifies existing profile content, only extends it.