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 G1Joshi/Agent-Skills --skill linkerdgit clone --depth 1 https://github.com/G1Joshi/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/g1joshi/agent-skills/linkerd)<a href="https://agentmods.dev/skills/g1joshi/agent-skills/linkerd"><img src="https://agentmods.dev/badge/skills/g1joshi/agent-skills/linkerd/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/g1joshi/agent-skills/linkerd"><img src="https://agentmods.dev/badge/skills/g1joshi/agent-skills/linkerd.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 | $0.00014 | $0.00294 |
| Opus 5 | $0.00007 | $0.00147 |
| Sonnet 5 | $0.00003 | $0.00059 |
| Haiku 4.5 | $0.00001 | $0.00029 |
Grade A, and why
linkerd 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.
What it actually says
Linkerd
Linkerd is a lightweight Service Mesh. It focuses on simplicity and performance (Rust-based proxies). v2.15 (2025) enables Mesh Expansion to VMs.
When to Use
- Low Overhead: You want mTLS and Metrics but can't afford Istio's CPU tax.
- Simplicity: "It just works". No complex configuration for basic features.
- Security: Default-on mTLS and authorization policies.
Core Concepts
Micro-Proxy
Linkerd uses a specialized Rust proxy (not Envoy) that is tiny and fast.
Viz Extension
A dashboard and Prometheus instance pre-configured to show mesh metrics (Success Rate, Latency).
ServiceProfiles
Define retry logic and timeouts per route.
Best Practices (2025)
Do:
- Use HA Mode: Run control plane in high-availability mode for production.
- Automate Cert Rotation: Use
cert-managerto rotate the mTLS root CA automatically. - Expand to VMs: Use the new 2.15 feature to include legacy databases in the mesh.
Don't:
- Don't disable mTLS: It's verified automatically. Keep it on.
References
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 · 45 lines · 14 tokens per session scan A 9a4680bd4646
linkerd is a skill published in the GitHub repository G1Joshi/Agent-Skills (12 stars, last pushed 7mo ago), licensed MIT. It adds 14 tokens to every session and 294 once invoked, about $0.0001 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 2026-09-03.
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