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 tuanductran/hr-skills --skill hr-mergers-acquisitionsgit clone --depth 1 https://github.com/tuanductran/hr-skillsWrote 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/tuanductran/hr-skills/hr-mergers-acquisitions)<a href="https://agentmods.dev/skills/tuanductran/hr-skills/hr-mergers-acquisitions"><img src="https://agentmods.dev/badge/skills/tuanductran/hr-skills/hr-mergers-acquisitions/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/tuanductran/hr-skills/hr-mergers-acquisitions"><img src="https://agentmods.dev/badge/skills/tuanductran/hr-skills/hr-mergers-acquisitions.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 | $0.00075 | $0.00849 |
| Opus 5 | $0.00037 | $0.00425 |
| Sonnet 5 | $0.00015 | $0.00170 |
| Haiku 4.5 | $0.00007 | $0.00085 |
Grade A, and why
hr-mergers-acquisitions 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 — 65 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Mergers & acquisitions (HR)
Manage the people dimensions of M&A transactions from due diligence through deal close — culture and org assessment, compensation and benefits comparison, people risk identification, and pre-close workforce planning.
Supported tasks
- Conducting HR due diligence on the target company's workforce and practices
- Assessing culture fit and integration risk between acquirer and target
- Comparing compensation, benefits, and employment terms across both organizations
- Identifying key talent retention risks ahead of deal announcement
- Assessing target company HR compliance, contracts, and liability exposure
- Estimating workforce-related deal costs (retention, severance, harmonization)
- Building pre-close workforce planning and Day 1 readiness plans
- Advising deal teams on people-related deal risks and negotiation points
- Planning confidential retention strategies for critical target-company talent
- Assessing labor law and works council implications across jurisdictions
- Preparing HR input for the broader deal business case
- Coordinating HR workstreams with legal, finance, and integration teams pre-close
Key prompts
Due diligence
- "Build an HR due diligence checklist for evaluating [target company]'s workforce, contracts, and compliance exposure."
- "What compensation, benefits, and employment term differences should we compare between [acquirer] and [target] before close?"
- "Assess key people risks in this acquisition of [target company] that the deal team should be aware of before signing."
- "What employment liabilities or undisclosed claims should HR due diligence specifically look for in [target company]'s records?"
Culture and talent risk
- "Assess culture fit and likely integration friction points between [acquirer] and [target] based on available information."
- "Identify [target company]'s critical talent who carry the highest flight risk around deal announcement, and why."
- "Design a confidential retention strategy for key target-company talent ahead of the public announcement."
- "How do we assess leadership team fit between [acquirer] and [target] before deciding who leads the combined function?"
What ships with it
4 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.
- 9d ago First seen · 65 lines · 75 tokens per session scan A 2af6470c2b2b
hr-mergers-acquisitions is a skill published in the GitHub repository tuanductran/hr-skills (57 stars, last pushed 2d ago), licensed MIT. It adds 75 tokens to every session and 849 once invoked, about $0.0004 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.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…
chat-pet-sprite-creation
Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.
cpu-profile-analysis
Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…
insight-error-page
Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…