Borrowing it
Nothing to install: this file belongs to galiprandi/job-seeker. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/galiprandi/job-seeker/main/.agents/skills/strategy/SKILL.mdgit clone --depth 1 https://github.com/galiprandi/job-seekerWrote 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/galiprandi/job-seeker/strategy)<a href="https://agentmods.dev/skills/galiprandi/job-seeker/strategy"><img src="https://agentmods.dev/badge/skills/galiprandi/job-seeker/strategy/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/galiprandi/job-seeker/strategy"><img src="https://agentmods.dev/badge/skills/galiprandi/job-seeker/strategy.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Excessive Agency · line 148 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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 | $0.00033 | $0.01892 |
| Opus 5 | $0.00016 | $0.00946 |
| Sonnet 5 | $0.00007 | $0.00378 |
| Haiku 4.5 | $0.00003 | $0.00189 |
Grade A, and why
strategy 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 today.
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 — 174 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Strategy — Job search aggressiveness configuration
Trigger
Keyword: strategy
The user says strategy (or variants: "cambiar estrategia", "change strategy", "more aggressive", "less aggressive", "urgency", "how active") and the strategy configuration flow is triggered.
Purpose
The job search has configurable aggressiveness. Different situations (employed vs unemployed, urgent vs relaxed) require different levels of effort. This flow lets the user define and adjust their strategy, which all other flows respect.
Pre-flight
- Load current strategy:
node scripts/db.js "SELECT value FROM preferences WHERE user_id = <user_id> AND category = 'workflow' AND key = 'strategy_level' AND status = 'active'" node scripts/db.js "SELECT data->'strategy' AS strategy FROM users WHERE id = <user_id>" - If no strategy exists, note that onboarding step 4b was skipped. Default to
selective.
Flow
1. Show current strategy
If a strategy exists, show the user:
Current strategy: selective
- Apply batch: 5 jobs per session
- Targets batch: 5 companies per session
- Daily frequency: 1x/day
- Match threshold: Must only
- Follow-up: 5 days
- Relax Must-haves: none
- Cold outreach: no
- Active sources: radar, apply, targets, referrals, news
2. Ask about current situation
Present the 4 levels (see AGENTS.md "Strategy levels") and ask:
- ¿Estás empleado actualmente?
- ¿Qué tan urgente es tu búsqueda?
- Sin urgencia, solo mirando →
passive - En los próximos meses, buscando algo mejor →
selective - Necesito algo pronto →
active - Necesito algo ya, desesperado →
aggressive
- Sin urgencia, solo mirando →
- Pregunta adaptativa según career stage (leer
users.data.profile.career_stageyusers.data.profile.has_management):- Si
career_stagees junior/mid: "¿Estás abierto a roles de un nivel más alto al tuyo, o solo a roles de tu mismo nivel?" - Si
career_stagees senior+ yhas_management = true: "¿Aceptarías roles IC o solo Manager?" - Si
career_stagees senior+ yhas_management = false: "¿Te interesa dar el salto a management o prefieres seguir como IC?"
- Si
- ¿Aceptarías hybrid si el proyecto es muy bueno?
- ¿Quieres que aplique automáticamente o solo te muestre opciones?
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.
- today Changed f6cf009a73ed
- 11d ago First seen · 174 lines · 33 tokens per session scan A 838b549866e1
strategy is a skill published in the GitHub repository galiprandi/job-seeker (26 stars, last pushed today), licensed MIT. It adds 33 tokens to every session and 1,892 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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