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 lynqu-icpgit 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-icp)<a href="https://agentmods.dev/skills/gravisun/lynqu-ai-toolkit/lynqu-icp"><img src="https://agentmods.dev/badge/skills/gravisun/lynqu-ai-toolkit/lynqu-icp/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-icp"><img src="https://agentmods.dev/badge/skills/gravisun/lynqu-ai-toolkit/lynqu-icp.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 | $0.00045 | $0.02056 |
| Opus 5 | $0.00023 | $0.01028 |
| Sonnet 5 | $0.00009 | $0.00411 |
| Haiku 4.5 | $0.00005 | $0.00206 |
Grade A, and why
lynqu-icp 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.
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.
- 12d ago First seen · 185 lines · 45 tokens per session scan A 79a8e333dede
lynqu-icp is a skill published in the GitHub repository Gravisun/lynqu-ai-toolkit (5 stars, last pushed 9d ago), with no licence file. It adds 45 tokens to every session and 2,056 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
discovery-planning
Build a discovery call plan — a hypothesis-driven question tree, a pain-to-impact-to-priority ladder, and multi-threading targets — so you walk in knowing exactly what to ask and why. Use before a discovery call or any meeting where you need to uncover problem, impact, and decision process. Triggers on: plan…
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.
meddpicc-qualification
Score a deal against MEDDPICC, separate evidence from assumption on every element, and turn the gaps into specific next actions. Use to pressure-test whether a deal is real and where it's exposed. Triggers on: qualify this deal, MEDDPICC, is this real, qualification gaps, score this deal.
mutual-action-plan
Build a mutual action plan (MAP) with the buyer — backward-planned milestones from go-live, owners on both sides, and the decision/procurement/legal/security steps that actually gate close. Use when a deal needs a joint close plan. Triggers on: mutual action plan, MAP, close plan with buyer, joint plan, success plan.
pipeline-review
Turn a messy pipeline into a coverage verdict, a stage-health read, an aging/stalled-deal list, and a ranked "work this first" plan. Use before a forecast call, 1:1, or whenever the pipeline feels off. Triggers on: review my pipeline, pipeline health, coverage, what's stuck, pipeline review.
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.