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 anysiteio/agent-skills --skill anysite-crm-account-briefgit clone --depth 1 https://github.com/anysiteio/agent-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/anysiteio/agent-skills/anysite-crm-account-brief)<a href="https://agentmods.dev/skills/anysiteio/agent-skills/anysite-crm-account-brief"><img src="https://agentmods.dev/badge/skills/anysiteio/agent-skills/anysite-crm-account-brief/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/anysiteio/agent-skills/anysite-crm-account-brief"><img src="https://agentmods.dev/badge/skills/anysiteio/agent-skills/anysite-crm-account-brief.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 | $0.00115 | $0.01151 |
| Opus 5 | $0.00057 | $0.00575 |
| Sonnet 5 | $0.00023 | $0.00230 |
| Haiku 4.5 | $0.00012 | $0.00115 |
Grade A, and why
anysite-crm-account-brief 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 12d 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 — 84 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CRM Account Brief
One account, twenty minutes of research, one page the user can read in the elevator.
Flow
1. CRM context (if connected)
crm_query_records(object_type="companies", search="<name or domain>")
crm_query_records(object_type="contacts", search="<domain>") # linked people
What we already know: fields, mapped scores/signals, who we talk to, what stage. The brief
must not contradict the CRM — where outside data disagrees (e.g. new title), flag it as
an update candidate for anysite-crm-enrich/anysite-crm-champions.
2. Company snapshot
execute crunchbase/search {keywords: name}→ alias (verify name+domain, first hit may be a namesake) →crunchbase/company→ funding history,leadership_hires[](often empty for smaller companies — not a negative),news[],layoffs[], employee range, investors. Same response, free extras for the brief:related.competitors[](their competitive set),bombora_surges[](what their team is researching — mention only if relevant to the meeting),predictions.funding_score(likelihood of a next round).search_sql_companies {website: "<domain>", count: 10}+ exactwebsitematch check (substring search returns look-alike domains — verify before trusting) → description, specialities, locations, employee_count.
3. What's happening now
- Hiring:
search_companies {keywords: "<name>", count: 5}→ pick the right company by name/industry/alias (first hit is often a namesake), itsurncomes back already as the{type, value}object →search_jobs {company: [<urn object>], sort: "recent", count: 20}— what functions they're growing (that's their current priorities, use in talking points). - News: crunchbase
news[]first (already fetched); addtechmeme/stories/stories_search {keyword: "<name>", count: 5}for tech companies. - Employer sentiment (optional, for bigger companies): resolve the employer id first via
glassdoor/companies/companies_search {company: "<name>", count: 1}→ thencompanies_ratings {company: <id>};blind/companies/companies_reviews— morale, attrition themes. Use with care in messaging — background context, never a quoted opener.
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.
- 12d ago First seen · 84 lines · 115 tokens per session scan A 1534f046cea2
anysite-crm-account-brief is a skill published in the GitHub repository anysiteio/agent-skills (19 stars, last pushed 28d ago), licensed MIT. It adds 115 tokens to every session and 1,151 once invoked, about $0.0006 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 2026-08-30.
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…