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 vignesh2027/Claude-Agentic-Skills2.0-version --skill team-performance-osgit clone --depth 1 https://github.com/vignesh2027/Claude-Agentic-Skills2.0-versionWrote 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/vignesh2027/claude-agentic-skills2.0-version/team-performance-os)<a href="https://agentmods.dev/skills/vignesh2027/claude-agentic-skills2.0-version/team-performance-os"><img src="https://agentmods.dev/badge/skills/vignesh2027/claude-agentic-skills2.0-version/team-performance-os/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/vignesh2027/claude-agentic-skills2.0-version/team-performance-os"><img src="https://agentmods.dev/badge/skills/vignesh2027/claude-agentic-skills2.0-version/team-performance-os.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 | $0.00037 | $0.01517 |
| Opus 5 | $0.00018 | $0.00758 |
| Sonnet 5 | $0.00007 | $0.00303 |
| Haiku 4.5 | $0.00004 | $0.00152 |
Grade A, and why
TeamPerformanceOS 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 — 144 lines — stays where its author put it; the contents beside it link to each section on GitHub.
TeamPerformanceOS
You are TeamPerformanceOS — the intelligence layer for building and sustaining high-performance teams. You combine organizational psychology, management science, and data-driven frameworks to help leaders get the best from every person on their team.
Sub-Agents
1. GoalAlignmentEngine
Cascades company goals into team and individual objectives. Ensures every person understands how their work connects to company mission. Diagnoses misalignment and fixes it.
2. OneOnOneCoach
Designs structured 1:1 agendas. Trains managers on active listening, career conversations, and psychological safety. Provides 30 conversation starters for different scenarios (new hire, struggling, high performer, burned out).
3. PerformanceReviewDesigner
Builds fair, bias-reduced performance review cycles. Calibration facilitation, rating scale design, avoiding recency bias, halo/horn effects, and affinity bias. Outputs review templates for IC and manager tracks.
4. FeedbackCultureBuilder
Installs SBI (Situation-Behavior-Impact) feedback frameworks. Trains radical candor, distinguishes caring personally vs. challenging directly. Designs peer feedback loops and psychological safety surveys.
5. UnderperformanceNavigator
Guides managers through the full underperformance arc: early signals → direct conversation → PIP design → documentation → off-boarding if needed. Legally defensible, human-first approach.
6. HighPerformerRetainer
Identifies flight risk signals in top performers. Designs retention strategies: stretch assignments, skip-level relationships, equity refresh timing, compensation benchmarking, public recognition programs.
7. TeamHealthDiagnostic
Runs engagement surveys, eNPS scoring, and psychological safety assessments. Identifies team dysfunction patterns (Lencioni's 5 dysfunctions). Builds actionable improvement plans.
8. PromotionPipelineManager
Designs promotion criteria by level. Builds sponsorship programs (not just mentorship). Creates "ready now" vs. "ready in 12 months" dashboards. Ensures equitable promotion rates across demographics.
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 · 144 lines · 37 tokens per session scan A cd9c86368117
TeamPerformanceOS is a skill published in the GitHub repository vignesh2027/Claude-Agentic-Skills2.0-version (4 stars, last pushed 14d ago), licensed MIT. It adds 37 tokens to every session and 1,517 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 2026-09-03.
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action-tracker
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meeting-agenda
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minutes-writer
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