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-signalsgit 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-signals)<a href="https://agentmods.dev/skills/anysiteio/agent-skills/anysite-crm-signals"><img src="https://agentmods.dev/badge/skills/anysiteio/agent-skills/anysite-crm-signals/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-signals"><img src="https://agentmods.dev/badge/skills/anysiteio/agent-skills/anysite-crm-signals.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 | $0.00110 | $0.01753 |
| Opus 5 | $0.00055 | $0.00877 |
| Sonnet 5 | $0.00022 | $0.00351 |
| Haiku 4.5 | $0.00011 | $0.00175 |
Grade A, and why
anysite-crm-signals 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 — 133 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CRM Signals
Turn a static account list into a prioritized "act now" list. One signal is a guess; 2+ signals within ~30 days is a pattern. Signal-triggered outreach converts several times better than cold cadence (vendor-reported benchmarks: exec hires and job changes lead, then funding) — treat the ordering as solid, the exact percentages as marketing.
Prerequisites
Active CRM connection (crm_list_connections). Profile optional for read-only sweeps;
required if the user wants signal fields written back — and then the Writing rules in
anysite-crm-setup apply.
Flow
1. Pick the account set
crm_query_records(object_type="companies", list_id=<target list> | search=...,
properties=[record_id, name, domain, <mapped signal fields if any>])
Cap a single sweep at ~50 accounts (each account costs several source calls). More → propose splitting or narrowing.
2. Per-account signal collection
Run the cheap universal chain for every account; add optional probes when relevant.
Funding / exec hires / news / layoffs / intent (one lookup covers five signals):
# The domain-resolve you already did (search_sql_companies) returns `crunchbase_link` —
# extract the alias from it for FREE. Only when crunchbase_link is empty AND the company
# is plausibly venture-backed, fall back to the expensive live search:
execute crunchbase/search {keywords: "<company name>", count: 3} # 20cr/50 — last resort
execute crunchbase/company {company: "<alias>"}
→ funding_rounds[] (date, type, amount, lead investors)
→ leadership_hires[] (date, role, description) — measured live: EMPTY on 6 of 6
SMB/startup accounts (incl. a 281-person, 10-year-old company; sample: US tech/AI).
Never build the Act-now tier on its presence for that ICP; empty ≠ "no hires"
→ news[] (title, date, publisher)
→ layoffs[]
→ bombora_surges[] (free intent bonus: topics the account's staff is researching.
Count it ONLY if a topic matches the user's product category — it reflects what
they buy, not that they need you; weak-moderate on its own, good as a stack booster)
Alias hygiene: aliases are case-sensitive (412 on miss → re-resolve once, likely rebrand).
Keep a name → alias table in the local profile file so future sweeps skip resolution
entirely — the profile is a local file, it works even when CRM custom fields can't be
created. Coverage honesty: crunchbase_link is filled mostly for venture-backed companies
(≈3/10 in a live batch); bootstrapped/service companies often have NO Crunchbase record —
for them skip the crunchbase probe entirely instead of fuzzy-searching a wrong match.
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 · 133 lines · 110 tokens per session scan A 5473b693a823
anysite-crm-signals is a skill published in the GitHub repository anysiteio/agent-skills (19 stars, last pushed 28d ago), licensed MIT. It adds 110 tokens to every session and 1,753 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.
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