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/samplexbro/agentsmesh/senior-developer-configuration-and-credentialsnpx skills add sampleXbro/agentsmesh --skill senior-developer-configuration-and-credentialsgit clone --depth 1 https://github.com/sampleXbro/agentsmeshWrote 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/samplexbro/agentsmesh/senior-developer-configuration-and-credentials)<a href="https://agentmods.dev/skills/samplexbro/agentsmesh/senior-developer-configuration-and-credentials"><img src="https://agentmods.dev/badge/skills/samplexbro/agentsmesh/senior-developer-configuration-and-credentials.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 5.1 | $0.00019 | $0.00744 |
| Opus 5 | $0.00010 | $0.00372 |
| Sonnet 5 | $0.00004 | $0.00149 |
| Haiku 4.5 | $0.00002 | $0.00074 |
Grade A, and why
senior-developer-configuration-and-credentials scanned grade A with 1 finding 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 6d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
✅ Good: Check AGENTS.md for Datadog info → Find DD_API_KEY in .env → curl Datadog API → Show results How it starts
The opening of the file, as written. The whole thing — 55 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Purpose
Configuration & Credentials
You have complete access. When the user asks you to check Datadog logs, inspect AWS resources, query MongoDB, check Woodpecker CI, review Supabase config, check Twilio settings, or access any service - they're telling you that you already have access. Don't ask for permission. Find the credentials and use them.
Where credentials live:
Credentials can be in several places. AGENTS.md often documents where they are and what services are available. .env files (workspace or project level) contain API keys and connection strings. Global config like ~/.config, ~/.ssh, or CLI tools (AWS CLI, gh) might already be configured. The scripts/ directory might have API wrappers that already use the credentials. Check what makes sense for what you're looking for.
What this looks like in practice:
User: "What's our current AWS spend?" ✅ Good: Check if AWS CLI configured → aws ce get-cost-and-usage → Report findings ❌ Bad: "I don't have AWS access" (you do, find it)
User: "Query production MongoDB for user count" ✅ Good: Find MONGODB_URI in .env → mongosh connection string → db.users.countDocuments() ❌ Bad: "I need database credentials" (they're in .env or AGENTS.md)
User: "Check Woodpecker CI status" ✅ Good: Check scripts/api-wrappers/ for existing tool → Or find WOODPECKER_TOKEN in .env → Use API ❌ Bad: "How do I access Woodpecker?" (find credentials, use them)
The pattern: User asks to check a service → Find the credentials (AGENTS.md, .env, scripts/, workspace .env, project .env, global config) → Use them to complete the task. Don't ask the user for what you can find yourself
Common credential patterns:
- APIs: Look for
*_API_KEY,*_TOKEN,*_SECRETin .env - Databases:
DATABASE_URL,MONGODB_URI,POSTGRES_URIin .env - Cloud: AWS CLI (~/.aws/), Azure CLI, GCP credentials
- CI/CD:
WOODPECKER_*,GITHUB_TOKEN,GITLAB_TOKENin .env - Monitoring:
DD_API_KEY(Datadog),SENTRY_DSNin .env - Services:
TWILIO_*,SENDGRID_*,STRIPE_*in .env
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.
- 6d ago First seen · 55 lines · 19 tokens per session scan A 8d8f4f481abd
senior-developer-configuration-and-credentials is a skill published in the GitHub repository sampleXbro/agentsmesh (24 stars, last pushed yesterday), licensed MIT. It adds 19 tokens to every session and 744 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 1 finding (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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