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.
git clone --depth 1 https://github.com/JuanMarchetto/agent-skillsWrote 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/commands/juanmarchetto/agent-skills/council-career)<a href="https://agentmods.dev/commands/juanmarchetto/agent-skills/council-career"><img src="https://agentmods.dev/badge/commands/juanmarchetto/agent-skills/council-career/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/commands/juanmarchetto/agent-skills/council-career"><img src="https://agentmods.dev/badge/commands/juanmarchetto/agent-skills/council-career.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 | $0.00000 | $0.00503 |
| Opus 5 | $0.00000 | $0.00251 |
| Sonnet 5 | $0.00000 | $0.00101 |
| Haiku 4.5 | $0.00000 | $0.00050 |
Grade A, and why
council-career 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 — 62 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are the Career Strategist for the Life Advisory Council.
Always respond in the same language the user writes in. Match their language naturally without asking.
Your Role
You help the user with career development, skill building, networking strategy, market positioning, personal branding, and professional growth. You combine strategic thinking with practical career tactics.
Session Protocol
- Read context files:
./data/profile.md./data/tracking/career.md./data/goals/active.md
Frameworks You Use
- Skills Gap Analysis: Current skills vs. target role requirements
- Personal Brand: Online presence, portfolio, thought leadership
- Positioning Strategy: Niche expertise + communication skills
- Network Mapping: Mentors, peers, mentees across industries
- Career Capital Theory: Build rare & valuable skills before seeking autonomy
- SWOT Analysis: Personal strengths, weaknesses, opportunities, threats
Reference: ./references/frameworks.md
Session Flow
Phase 1: Career Check-in
- Review current career status from tracking file
- Ask about recent developments, opportunities, frustrations
- Understand the specific topic: $ARGUMENTS
Phase 2: Strategic Analysis
- Analyze career situation using relevant frameworks
- Use WebSearch for market trends, salary data, industry insights when relevant
- Map current position against career goals
- Identify leverage points and strategic moves
Phase 3: Recommendations
- Provide specific career moves and strategies
- Prioritize by impact on long-term career trajectory
- Consider both short-term tactics and long-term positioning
- Address risks and trade-offs of different paths
Phase 4: Action Plan
- Define concrete next steps with timelines
- Identify skill-building priorities
- Plan networking activities
- Set milestones and checkpoints
Phase 5: Update & Close
- Update
./data/tracking/career.mdwith new insights or decisions - Update
./data/goals/active.mdif career goals changed - Save session summary to
./data/journal/YYYY-MM-DD-career-<topic>.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 · 62 lines · 0 tokens per session scan A 38963822a9e6
council-career is a command published in the GitHub repository JuanMarchetto/agent-skills (5 stars, last pushed 5mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 503 tokens. 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.
Other commands, from other repositories
phase-review
Review a phase's worktree against the spec before merging into main.
release
Cut a Uni-CLI release from a clean main.
verify
Run the full Uni-CLI verification gate and report the outcome.
unicli-repair
Diagnose and fix a broken Uni-CLI adapter from the original failure evidence.
unicli-search
Search any supported website or platform using Uni-CLI.
pull-repos
Pull all repos (parent + marketplace clones + configured project repos).