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-market-mappinggit 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-market-mapping)<a href="https://agentmods.dev/skills/tuanductran/hr-skills/hr-market-mapping"><img src="https://agentmods.dev/badge/skills/tuanductran/hr-skills/hr-market-mapping/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-market-mapping"><img src="https://agentmods.dev/badge/skills/tuanductran/hr-skills/hr-market-mapping.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 | $0.00866 |
| Opus 5 | $0.00037 | $0.00433 |
| Sonnet 5 | $0.00015 | $0.00173 |
| Haiku 4.5 | $0.00007 | $0.00087 |
Grade A, and why
hr-market-mapping 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.
Talent market mapping
Build structured maps of where target talent lives — which companies, functions, and geographies hold the people a business needs to hire — to inform sourcing strategy, competitive intelligence, and executive search before outreach begins.
Supported tasks
- Building a talent market map for a role, function, or industry
- Identifying target companies to source from and reasons to exclude others
- Mapping competitor org structures and reporting lines for key functions
- Sizing the addressable talent market for a role or skill set
- Segmenting the market by seniority, geography, and specialization
- Tracking talent movement and market shifts over time
- Building comparison profiles of target companies' talent value propositions
- Identifying feeder companies and talent pipelines for specific roles
- Preparing market maps as inputs to search strategy and comp benchmarking
- Presenting market intelligence findings to hiring managers and leadership
- Refreshing market maps as target companies restructure or relocate
- Flagging market scarcity or oversupply signals for workforce planning
Key prompts
Building the map
- "Build a talent market map for [role/function] across [industry/region], including target companies, headcount estimates, and key differentiators."
- "Identify 15 to 20 companies most likely to employ strong [role] candidates in [location], and explain why each is a good source."
- "Segment the [role] talent market by seniority level and specialization within [industry]."
- "Which companies should we exclude from sourcing for [role] due to non-compete, conflict of interest, or reputational reasons?"
Competitive intelligence
- "Map the reporting structure for [function] at [target company] based on publicly available information."
- "Compare the talent value propositions of [company A] and [company B] for [role] — comp, culture, growth, brand."
- "What signals suggest [target company] is a strong or weak source of [role] talent right now?"
- "Identify recent leadership changes or reorganizations at [target company] that could open sourcing opportunities."
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.
- 9d ago First seen · 65 lines · 75 tokens per session scan A d309c3fc5223
hr-market-mapping is a skill published in the GitHub repository tuanductran/hr-skills (58 stars, last pushed today), licensed MIT. It adds 75 tokens to every session and 866 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…