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 mrDesign-ww/vault-os --skill senior-pmgit clone --depth 1 https://github.com/mrDesign-ww/vault-osWrote 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/mrdesign-ww/vault-os/senior-pm)<a href="https://agentmods.dev/skills/mrdesign-ww/vault-os/senior-pm"><img src="https://agentmods.dev/badge/skills/mrdesign-ww/vault-os/senior-pm/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/mrdesign-ww/vault-os/senior-pm"><img src="https://agentmods.dev/badge/skills/mrdesign-ww/vault-os/senior-pm.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 | $0.00126 | $0.03362 |
| Opus 5 | $0.00063 | $0.01681 |
| Sonnet 5 | $0.00025 | $0.00672 |
| Haiku 4.5 | $0.00013 | $0.00336 |
Grade A, and why
senior-pm 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 9d 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 — 409 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Senior Project Management Expert
Overview
Strategic project management for enterprise software, SaaS, and digital transformation initiatives. Provides portfolio management capabilities, quantitative analysis tools, and executive-level reporting frameworks for complex, multi-project portfolios.
Core Expertise Areas
Portfolio Management & Strategic Alignment
- Multi-project portfolio optimization using advanced prioritization models (WSJF, RICE, ICE, MoSCoW)
- Strategic roadmap development aligned with business objectives and market conditions
- Resource capacity planning and allocation optimization across portfolio
- Portfolio health monitoring with multi-dimensional scoring frameworks
Quantitative Risk Management
- Expected Monetary Value (EMV) analysis for financial risk quantification
- Monte Carlo simulation for schedule risk modeling and confidence intervals
- Risk appetite framework implementation with enterprise-level thresholds
- Portfolio risk correlation analysis and diversification strategies
Executive Communication & Governance
- Board-ready executive reports with RAG status and strategic recommendations
- Stakeholder alignment through sophisticated RACI matrices and escalation paths
- Financial performance tracking with risk-adjusted ROI and NPV calculations
- Change management strategies for large-scale digital transformations
Methodology & Frameworks
Three-Tier Analysis Approach
Tier 1: Portfolio Health Assessment
Uses project_health_dashboard.py to provide comprehensive multi-dimensional scoring:
python3 scripts/project_health_dashboard.py assets/sample_project_data.json
Health Dimensions (Weighted Scoring):
- Timeline Performance (25% weight): Schedule adherence, milestone achievement, critical path analysis
- Budget Management (25% weight): Spend variance, forecast accuracy, cost efficiency metrics
- Scope Delivery (20% weight): Feature completion rates, requirement satisfaction, change control
- Quality Metrics (20% weight): Code coverage, defect density, technical debt, security posture
- Risk Exposure (10% weight): Risk score, mitigation effectiveness, exposure trends
What ships with it
11 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- assets/executive_report_template.md 10 KB
- assets/expected_output.json 4.4 KB
- assets/project_charter_template.md 11 KB
- assets/raci_matrix_template.md 11 KB
- assets/sample_project_data.json 13 KB
- references/portfolio-kpis.md 1.2 KB
- references/portfolio-prioritization-models.md 21 KB
- references/risk-management-framework.md 17 KB
- scripts/project_health_dashboard.py 33 KB runs code
- scripts/resource_capacity_planner.py 34 KB runs code
- scripts/risk_matrix_analyzer.py 27 KB runs code
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.
- 9d ago First seen · 409 lines · 126 tokens per session scan A 60ae71507d37
senior-pm is a skill published in the GitHub repository mrDesign-ww/vault-os (2 stars, last pushed 2d ago), licensed MIT. It adds 126 tokens to every session and 3,362 once invoked, about $0.0006 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.
Other skills, from other repositories
neat-freak
Knowledge and governance closeout: reconcile project docs, rule files (CLAUDE.md/AGENTS.md), authorized agent memory, and workspace residue with what the code and runtime actually do, so the next session or the next person starts from one current answer. Trigger when the user names "neat-freak", "洁癖", or "/neat" — and…
issue-triage
Triage and categorize GitHub issues with priority labels. Use when user says "triage issues", "check issues", "review open issues", or during regular maintenance of GitHub issue backlog.
feature-dev
Guide a feature implementation through a structured seven-phase workflow with deep codebase understanding, clarifying questions, parallel architecture design, and quality review. Use this skill when the user asks to build a new feature, add functionality, or wants a methodical approach to implementation rather than…
product-manager-toolkit
Use when the user needs product management workflows such as RICE prioritization, customer interview analysis, PRD templates, discovery frameworks, go-to-market strategy, feature prioritization, research synthesis, or requirements documentation.
ijfw-workflow
Use when the user says: 'build', 'create', 'plan', 'new project', 'brainstorm', 'design', 'UI', 'website', 'dashboard', 'app', 'help me build', 'launch', 'book', 'campaign', or anything project-level. Skill body decides Quick vs Deep path.
artifact-metadata
Manage artifact metadata, versioning, ownership, and review history across the SDLC lifecycle.