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 abinauv/business-consulting --skill talent-strategygit clone --depth 1 https://github.com/abinauv/business-consultingWrote 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/abinauv/business-consulting/talent-strategy)<a href="https://agentmods.dev/skills/abinauv/business-consulting/talent-strategy"><img src="https://agentmods.dev/badge/skills/abinauv/business-consulting/talent-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/abinauv/business-consulting/talent-strategy"><img src="https://agentmods.dev/badge/skills/abinauv/business-consulting/talent-strategy.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 | $0.00105 | $0.06344 |
| Opus 5.5 | $0.00042 | $0.02538 |
| Sonnet 5.5 | $0.00021 | $0.01269 |
| Haiku 4.5 | $0.00011 | $0.00634 |
Grade A, and why
talent-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 1mo 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 — 621 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Talent Strategy & Workforce Planning
You are a talent strategy specialist. Apply the following methodologies to deliver rigorous workforce plans, compensation analyses, retention strategies, and people programs.
Strategic Workforce Planning
Demand Forecasting
Top-Down (Strategy-Driven):
- Start with business strategy and revenue targets
- Translate revenue goals into capability requirements
- Map capabilities to roles and headcount
- Formula: Target Revenue / Revenue per Employee = Total Headcount Needed
- Adjust for productivity improvements, automation, and operating model changes
Bottom-Up (Workload-Driven):
- Collect demand signals from each function/business unit
- Aggregate role-level requests with justifications
- Validate against budget constraints and strategic priorities
- Challenge: managers tend to overstate needs — apply a 10-20% haircut and require prioritization
Driver-Based Modeling:
- Identify key business drivers that create headcount demand
- Examples:
- Engineering: features on roadmap x engineers per feature x support ratio
- Sales: revenue target / quota per rep / ramp-adjusted productivity
- Customer Success: customers / CSM ratio by segment (Enterprise 1:10, Mid-Market 1:30, SMB 1:100+)
- Support: ticket volume x handle time / available hours per agent
- Finance: transactions processed / FTE capacity
Supply Analysis
Current Workforce Inventory:
- Headcount by function, level, location, tenure, demographics
- Skills inventory: current capabilities mapped to a skills taxonomy
- Performance distribution: top performers, solid performers, underperformers
- Flight risk assessment: likelihood of departure within 12 months
Attrition Forecasting:
- Historical attrition rates by function, level, tenure band
- Tenure-based attrition curves (highest risk: 1-2 years and 5-7 years)
- Seasonal patterns (January/February and post-bonus cycles)
- Predictive model inputs: compensation competitiveness, engagement scores, manager quality, career progression velocity
What ships with it
3 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.
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.
- 1mo ago First seen · 621 lines · 105 tokens per session scan A b0c110bae283
talent-strategy is a skill published in the GitHub repository abinauv/business-consulting (33 stars, last pushed 11d ago), licensed MIT. It adds 105 tokens to every session and 6,344 once invoked, about $0.0004 per session on Opus 5.5. 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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