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 agentmods add skills/ancoleman/ai-design-components/implementing-tlsnpx skills add ancoleman/ai-design-components --skill implementing-tlsgit clone --depth 1 https://github.com/ancoleman/ai-design-componentsWrote 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/ancoleman/ai-design-components/implementing-tls)<a href="https://agentmods.dev/skills/ancoleman/ai-design-components/implementing-tls"><img src="https://agentmods.dev/badge/skills/ancoleman/ai-design-components/implementing-tls.svg" alt="Measured on agentmods" 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 | $0.00038 | $0.03661 |
| Opus 5 | $0.00019 | $0.01831 |
| Sonnet 5 | $0.00008 | $0.00732 |
| Haiku 4.5 | $0.00004 | $0.00366 |
Grade B, and why
implementing-tls scanned grade B with 2 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 4d 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.
Asks for rootmediumPrivilege escalation
A mod that escalates privileges can change anything on the machine, not only the project.
# sudo apt install mkcert # Linux Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl https://api.example.com/endpoint \ How it starts
The opening of the file, as written. The whole thing — 503 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Implementing TLS
Purpose
Implement Transport Layer Security (TLS) for encrypting network communications and authenticating services. Generate certificates, automate certificate lifecycle management with Let's Encrypt or internal CAs, configure TLS 1.3, implement mutual TLS for service authentication, and debug common certificate issues.
When to Use This Skill
Trigger this skill when:
- Setting up HTTPS for web applications or APIs
- Securing service-to-service communication in microservices
- Implementing mutual TLS (mTLS) for zero-trust networks
- Generating certificates for development or production
- Automating certificate renewal and rotation
- Debugging certificate validation errors
- Configuring TLS termination at load balancers
- Setting up internal PKI for corporate networks
Quick Start
For Development (Local HTTPS)
Use mkcert for trusted local certificates:
# Install mkcert
brew install mkcert # macOS
# sudo apt install mkcert # Linux
# Install local CA
mkcert -install
# Generate certificate
mkcert example.com localhost 127.0.0.1
# Creates: example.com+2.pem and example.com+2-key.pem
For Production (Public HTTPS)
Kubernetes with cert-manager:
# Install cert-manager
helm install cert-manager jetstack/cert-manager \
--namespace cert-manager --create-namespace \
--set installCRDs=true
# Create Let's Encrypt issuer
kubectl apply -f - <<EOF
apiVersion: cert-manager.io/v1
kind: ClusterIssuer
metadata:
name: letsencrypt-prod
spec:
acme:
server: https://acme-v02.api.letsencrypt.org/directory
email: [email protected]
privateKeySecretRef:
name: letsencrypt-prod-key
solvers:
- http01:
ingress:
class: nginx
EOF
Traditional servers with Certbot:
# Install certbot
sudo apt install certbot
# Obtain certificate
sudo certbot certonly --standalone -d example.com -d www.example.com
# Certificates saved to /etc/letsencrypt/live/example.com/
For Internal Services (Internal PKI)
What ships with it
15 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- examples/cert-manager/clusterissuer-letsencrypt.yaml 764 B
- examples/cert-manager/ingress-tls.yaml 742 B
- examples/certbot/README.md 874 B
- examples/cfssl-ca/setup-ca.sh 1.4 KB runs code
- examples/mtls-nginx/README.md 1.0 KB
- examples/mtls-nginx/server.conf 2.0 KB
- examples/self-signed/generate.sh 1.6 KB runs code
- examples/vault-pki/README.md 1.2 KB
- outputs.yaml 16 KB
- references/automation-patterns.md 15 KB
- references/certificate-generation.md 8.9 KB
- references/debugging-tls.md 15 KB
- references/mtls-guide.md 15 KB
- references/tls13-best-practices.md 14 KB
- scripts/check-cert-expiry.sh 2.1 KB runs code
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.
- 4d ago First seen · 503 lines · 38 tokens per session scan B 6b7a788f4073
implementing-tls is a skill published in the GitHub repository ancoleman/ai-design-components (517 stars, last pushed 8mo ago), licensed MIT. It adds 38 tokens to every session and 3,661 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it B with 2 findings (asks for root, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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