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 Gravisun/lynqu-ai-toolkit --skill lynqugit clone --depth 1 https://github.com/Gravisun/lynqu-ai-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/gravisun/lynqu-ai-toolkit/lynqu)<a href="https://agentmods.dev/skills/gravisun/lynqu-ai-toolkit/lynqu"><img src="https://agentmods.dev/badge/skills/gravisun/lynqu-ai-toolkit/lynqu/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/gravisun/lynqu-ai-toolkit/lynqu"><img src="https://agentmods.dev/badge/skills/gravisun/lynqu-ai-toolkit/lynqu.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 | $0.00040 | $0.03649 |
| Opus 5 | $0.00020 | $0.01825 |
| Sonnet 5 | $0.00008 | $0.00730 |
| Haiku 4.5 | $0.00004 | $0.00365 |
Grade A, and why
lynqu 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.
The source is not reproduced here
A licence we could not identify
The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.
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 · 260 lines · 40 tokens per session scan A 41b0fb4285d5
lynqu is a skill published in the GitHub repository Gravisun/lynqu-ai-toolkit (5 stars, last pushed 6d ago), with no licence file. It adds 40 tokens to every session and 3,649 once invoked, about $0.0002 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 2026-08-31.
Other skills, from other repositories
expansion-upsell
Grow an existing account — map whitespace, read expansion-readiness signals, run the land-and-expand play, and time the ask to value realization. Use when planning how to expand, upsell, or cross-sell into a current customer. Triggers on: expansion, upsell, grow this account, cross-sell, land and expand.
renewal-churn-save
Spot a renewal at risk, prove the value you've delivered, and run a save play before the customer churns. Use when a renewal is approaching or an account shows churn signals. Triggers on: renewal, churn risk, save this account, at-risk customer, renewal risk.
account-research
Build a sharp, one-page account brief before a call — firmographics, recent triggers, the likely buying committee, mapped pains, and hypotheses to test. Use before a discovery call, an outbound push, or any first touch with a new account. Triggers on: research this account, company research, account brief, who are…
closing-plan
Build a step-by-step path to signature for a live deal — mapping every gate, owner, and date between now and a signed contract. Use when a deal needs a close plan or you're driving toward a signing date. Triggers on: close plan, how do I close, path to close, get this signed, closing steps.
cold-email
Write a cold outreach email that earns a reply — one problem, a real relevance hook, brevity, and a single low-friction ask. Use for first-touch prospecting into a new account or persona. Triggers on: cold email, write outreach, first touch email, break in, cold outreach.
competitive-battlecard
Build an honest, actionable competitive battlecard for a live deal — where you win, where they win, landmines to plant, trap questions, rebuttals, and proof points. Use when a competitor is in the deal or the buyer is evaluating an alternative. Triggers on: battlecard, competitor, vs competitor, compete against…