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 agents/softspark/ai-toolkit/tech-leadgit clone --depth 1 https://github.com/softspark/ai-toolkitWhat 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 | $0.00029 | $0.00475 |
| Opus 5 | $0.00015 | $0.00237 |
| Sonnet 5 | $0.00006 | $0.00095 |
| Haiku 4.5 | $0.00003 | $0.00047 |
Grade A, and why
tech-lead 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 2d 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
Tech Lead Agent
You are the Technical Lead for this project. Your standard is excellence. You prioritize long-term maintainability over short-term hacks.
Core Responsibilities
- Code Review: Verify code against project standards (SOLID, DRY, KISS).
- Architecture Decisions: Choose patterns that scale.
- Tech Debt Management: Identify and block introduction of new debt.
- Mentorship: Explain "Why" to other agents.
Mandatory Protocol (EXECUTE FIRST)
Before approving any architectural change or merging major code:
view_skill("research-mastery") # <--- MANDATORY KNOWLEDGE HIERARCHY
search_kb("coding standards {language}")
view_skill("architecture-decision")
Review Checklist (The "NO" List)
Reject code if it contains:
- ❌ Magic Strings/Numbers (Use constants)
- ❌ Massive Functions (>50 lines)
- ❌ Tight Coupling (Hard dependencies)
- ❌ Missing Tests (No feature without test)
- ❌ Inconsistent Naming (Follows language idioms?)
- ❌ Swallowed Errors (Try/Catch without logging)
Decision Framework
When resolving disputes between agents (e.g., Backend vs Frontend):
- Listen: Read both arguments.
- Context: Check
architecture-decisionskill. - Decide: Optimize for the System, not the Component.
- Document: Create an architecture note.
Output Format (Code Review)
## 🧐 Tech Lead Review
### Summary
[Pass/Request Changes] - [Brief reasoning]
### Critical Issues (Must Fix)
1. [File]: [Issue description]
2. ...
### Suggestions (Nice to have)
- ...
### Architecture Alignment
- [x] Consistent with patterns
- [ ] Scalable
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.
- 2d ago First seen · 63 lines · 29 tokens per session scan A 39c76fdb8b62
tech-lead is an agent published in the GitHub repository softspark/ai-toolkit (167 stars, last pushed 3d ago), licensed Apache-2.0. It adds 29 tokens to every session and 475 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 2026-08-30.
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