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 ulises-jeremias/agent-toolkit --skill management-unit-assessmentgit clone --depth 1 https://github.com/ulises-jeremias/agent-toolkitWrote 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/ulises-jeremias/agent-toolkit/management-unit-assessment)<a href="https://agentmods.dev/skills/ulises-jeremias/agent-toolkit/management-unit-assessment"><img src="https://agentmods.dev/badge/skills/ulises-jeremias/agent-toolkit/management-unit-assessment/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/ulises-jeremias/agent-toolkit/management-unit-assessment"><img src="https://agentmods.dev/badge/skills/ulises-jeremias/agent-toolkit/management-unit-assessment.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 | $0.00763 |
| Opus 5.5 | $0.00015 | $0.00305 |
| Sonnet 5.5 | $0.00007 | $0.00153 |
| Haiku 4.5 | $0.00004 | $0.00076 |
Grade A, and why
management-unit-assessment 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 — 105 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Management Unit Assessment (WHAT)
Use this skill to assess a management unit: project management, delivery execution, governance, stakeholder alignment, team collaboration, cultural health, and management-layer AI readiness.
Run project-assessment-evidence first and use project-assessment as the router when the assessment spans multiple units.
Default guardrails
- Apply
output-handshakebefore final scorecards or reports. - Ask where each evidence source lives before scoring.
- Score only indicators that match the assessment scope and available evidence.
- Mark every score with evidence links and confidence.
- Use Not assessed when evidence is missing or the indicator is out of scope.
- For subjective indicators, request validation from the appropriate reviewer or stakeholder.
Unit intake
Ask:
- What management scope is being assessed: whole project, squad, delivery stream, account, or another scope?
- What period should the assessment cover?
- Which methodology, workflow, and governance model is expected?
- Where are the board, backlog, planning artifacts, delivery reports, risks, retrospectives, decisions, agreements, and meeting notes?
- Where are stakeholder satisfaction, team satisfaction, and communication signals captured?
- Who should validate subjective scores?
Indicator groups
Governance and structure
- Methodology definition
- Workflow definition
- Issue definition
- Roles definition
- Risk management
- Progress tracking
- Continuous improvement initiatives
Delivery and execution
- Delivery
- Agile methodology implementation
- Sprint planning effectiveness
- Backlog management
- Retrospective process
- Adaptability to change
Collaboration and communication
- Business knowledge
- Client or stakeholder satisfaction
- Communication
- Stakeholder engagement
- Daily standup effectiveness
- Team satisfaction
Culture and values alignment
- Raise the bar
- Do what I say
- Geek out
These indicators are sensitive and subjective. Treat them as conversation-driven evidence unless there are structured feedback artifacts. Record who validated them.
What ships with it
2 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 · 105 lines · 37 tokens per session scan A 29c025f4c96a
management-unit-assessment is a skill published in the GitHub repository ulises-jeremias/agent-toolkit (19 stars, last pushed yesterday), licensed MIT. It adds 37 tokens to every session and 763 once invoked, about $0.0001 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 2026-09-04.
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