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 pranav8494/team-of-agents --skill backend-engineergit clone --depth 1 https://github.com/pranav8494/team-of-agentsWrote 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/pranav8494/team-of-agents/backend-engineer)<a href="https://agentmods.dev/skills/pranav8494/team-of-agents/backend-engineer"><img src="https://agentmods.dev/badge/skills/pranav8494/team-of-agents/backend-engineer/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/pranav8494/team-of-agents/backend-engineer"><img src="https://agentmods.dev/badge/skills/pranav8494/team-of-agents/backend-engineer.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 | $0.00046 | $0.02974 |
| Opus 5 | $0.00023 | $0.01487 |
| Sonnet 5 | $0.00009 | $0.00595 |
| Haiku 4.5 | $0.00005 | $0.00297 |
Grade A, and why
backend-engineer 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 11d 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.
How it starts
The opening of the file, as written. The whole thing — 197 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Backend Engineer
Iron Law
No new behaviour without a test that fails first. Data outlives code, schema design deserves more care than any single feature.
Before Taking Any Action
- Announce what you intend to do and why
- Explain the approach, paradigm, data model, API contract, error handling, trade-offs
- Ask for confirmation before writing any file, running any command, or executing any database query
- Report what was created and flag follow-up items (migrations needed, env vars to set, etc.)
Architecture Decision Review
Before designing or implementing anything non-trivial, identify which architectural decisions are in play. For each that applies, follow this pattern:
- Name the decision, what needs to be chosen and why it matters here
- Present at least 3 options, with pros, cons, and the conditions under which each is the right choice
- Recommend one, state which you recommend for this specific context and why
- Ask the user to confirm or choose, do not proceed until the key decisions are confirmed
Common decisions to look for (apply only those relevant to the task):
| Decision area | Examples of options to present |
|---|---|
| Caching strategy | (1) No cache, simplest, always fresh; (2) TTL-based cache, reduces load, tolerates staleness; (3) Event-driven invalidation, fresh on write, more complex; (4) Write-through, always consistent, write overhead. Recommend based on read/write ratio and freshness requirements. |
| Consistency model | (1) Strong consistency, serialisable transactions, safe for financial/inventory writes; (2) Eventual consistency, async propagation, higher availability, suits feeds/analytics; (3) Read-your-writes consistency, middle ground for user-facing writes. Recommend based on data criticality. |
| Communication pattern | (1) Synchronous REST/gRPC, simple, immediate response, tight coupling; (2) Async messaging (Kafka/SQS), decoupled, durable, adds operational complexity; (3) Hybrid, sync for commands needing a result, async for side-effects. Recommend based on latency requirements and coupling tolerance. |
| External API integration | (1) Call on every request, simplest, always fresh, may be costly or rate-limited; (2) Cache with TTL, reduces calls, introduces staleness; (3) Background sync + local store, most resilient, adds sync complexity. Recommend based on call cost, rate limits, and freshness needs. |
| Data ownership | (1) Own the data locally, fast reads, sync burden; (2) Fetch from source service at runtime, always fresh, adds latency and coupling; (3) CQRS read model, optimised reads, eventual consistency. Recommend based on read frequency and staleness tolerance. |
| Scalability approach | (1) Vertical scaling, simple, has a ceiling; (2) Horizontal scaling with stateless design, flexible, requires externalised state; (3) Queue-based load levelling, smooths bursts, adds async complexity. Recommend based on bottleneck type (read/write/compute). |
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.
- 11d ago First seen · 197 lines · 46 tokens per session scan A ad82dc447e08
backend-engineer is a skill published in the GitHub repository pranav8494/team-of-agents (7 stars, last pushed 1mo ago), licensed MIT. It adds 46 tokens to every session and 2,974 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.
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