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 strikersam/autonomous-ai-agency --skill agentic-portfoliogit clone --depth 1 https://github.com/strikersam/autonomous-ai-agencyWrote 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/strikersam/autonomous-ai-agency/agentic-portfolio)<a href="https://agentmods.dev/skills/strikersam/autonomous-ai-agency/agentic-portfolio"><img src="https://agentmods.dev/badge/skills/strikersam/autonomous-ai-agency/agentic-portfolio/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/strikersam/autonomous-ai-agency/agentic-portfolio"><img src="https://agentmods.dev/badge/skills/strikersam/autonomous-ai-agency/agentic-portfolio.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00017 | $0.00585 |
| Opus 5 | $0.00009 | $0.00293 |
| Sonnet 5 | $0.00003 | $0.00117 |
| Haiku 4.5 | $0.00002 | $0.00059 |
Grade A, and why
agentic-portfolio 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 — 60 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill: Agentic Portfolio Management
Purpose
Initiative-level portfolio management (agents/portfolio.py) that sits one level
above agentic-agile. Ranks initiatives (epics) with WSJF (Weighted Shortest
Job First), allocates finite team capacity, lays work onto a Now/Next/Later
roadmap, and rolls sprint delivery progress up from agentic-agile.
Usage
from agents.portfolio import PortfolioManager
from agents.agile_sprints import AgileManager
pf = PortfolioManager()
pf.add_initiative("Checkout v2", business_value=8, time_criticality=5, risk_reduction=3, job_size=4)
pf.add_initiative("Search relevance", business_value=5, time_criticality=2, risk_reduction=2, job_size=8)
ranked = pf.prioritized() # highest WSJF first
alloc = pf.allocate_capacity(capacity=8) # what fits this increment
roadmap = pf.plan_roadmap(capacity_per_horizon=8) # Now / Next / Later
# Roll delivery up from the agile sprints that implement each initiative
am = AgileManager()
sprint = am.create_sprint("Sprint 5")
pf.link_sprint(ranked[0].initiative_id, sprint.sprint_id)
progress = pf.rollup_progress(am)
WSJF
WSJF = Cost of Delay / Job Size, where
Cost of Delay = business_value + time_criticality + risk_reduction.
Higher WSJF is scheduled sooner. Use a relative scale (modified Fibonacci:
1, 2, 3, 5, 8, 13, 20) for each component.
Key Classes
- Initiative — epic with WSJF inputs, status, owner, linked sprints, horizon
- PortfolioManager — CRUD,
prioritized(),allocate_capacity(),plan_roadmap(),rollup_progress(),metrics() - CapacityAllocation — committed vs deferred initiatives, utilization
- PortfolioMetrics — totals, average WSJF, status counts
- InitiativeProgress — per-initiative sprint roll-up
Skill actions (via SkillBindings)
add_initiative, prioritize, allocate_capacity, roadmap, get_metrics.
Testing
python -m pytest tests/test_portfolio.py -v
Related
- Skill:
agentic-agile(sprint/story level — the layer below) - Specialist family:
portfolio(Portfolio Manager) - Issue #233: Agentic Agile
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 · 60 lines · 17 tokens per session scan A 9a12775b23c5
agentic-portfolio is a skill published in the GitHub repository strikersam/autonomous-ai-agency (8 stars, last pushed today), licensed MIT. It adds 17 tokens to every session and 585 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 2026-09-03.
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