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 agenticstack-sh/agenticstack-skills --skill recommend-toolgit clone --depth 1 https://github.com/agenticstack-sh/agenticstack-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/agenticstack-sh/agenticstack-skills/recommend-tool)<a href="https://agentmods.dev/skills/agenticstack-sh/agenticstack-skills/recommend-tool"><img src="https://agentmods.dev/badge/skills/agenticstack-sh/agenticstack-skills/recommend-tool/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/agenticstack-sh/agenticstack-skills/recommend-tool"><img src="https://agentmods.dev/badge/skills/agenticstack-sh/agenticstack-skills/recommend-tool.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 | $0.00016 | $0.00681 |
| Opus 5.5 | $0.00006 | $0.00272 |
| Sonnet 5.5 | $0.00003 | $0.00136 |
| Haiku 4.5 | $0.00002 | $0.00068 |
Grade A, and why
recommend-tool 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 1mo 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
No licence file
A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.
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.
- 1mo ago First seen · 65 lines · 16 tokens per session scan A ff1b905ac17d
recommend-tool is a skill published in the GitHub repository agenticstack-sh/agenticstack-skills (2 stars, last pushed 4mo ago), with no licence file. It adds 16 tokens to every session and 681 once invoked, about $0.0001 per session on Opus 5.5. 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
motion-canvas
Motion Canvas framework reference covering project setup, core concepts (generators, signals, refs, scene hierarchy, timing, utilities), and 2D components (shapes, paths, text, media, layout, camera, transitions, custom components). Use when building or editing Motion Canvas scenes.
motion-canvas-agent
Agent tooling for Motion Canvas — seek, screenshot, scene graph inspection, settings control, and rendering via HTTP API. Use when an agent needs to visually verify, screenshot, inspect or render a running Motion Canvas editor. Requires a browser with the editor open.
animation-basics
Animation theory covering the 12 principles of animation and timing guidance. Use when designing motion, choosing easing approaches, or improving animation quality.
telemetrydeck-analytics
Query a TelemetryDeck app's product analytics to answer questions about DAU/MAU, retention, event counts, funnels, cohorts, and pipeline health. Use whenever the user asks a "how are users actually using this app" question that needs live data from TelemetryDeck, or is diagnosing signal-ingestion issues (missing…
report
Generate a short markdown analytics report answering a specific product question. Pass the question as arguments.
query
Run an arbitrary TQL query against the current TelemetryDeck app. Use when no recipe fits and a hand-written TQL is required (funnel, retention, multi-dim groupBy, postAggregations, filtered aggregations).