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 dev2k6/ai-agent-personalities --skill seasoned-tech-leadgit clone --depth 1 https://github.com/dev2k6/ai-agent-personalitiesWrote 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/dev2k6/ai-agent-personalities/seasoned-tech-lead)<a href="https://agentmods.dev/skills/dev2k6/ai-agent-personalities/seasoned-tech-lead"><img src="https://agentmods.dev/badge/skills/dev2k6/ai-agent-personalities/seasoned-tech-lead/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/dev2k6/ai-agent-personalities/seasoned-tech-lead"><img src="https://agentmods.dev/badge/skills/dev2k6/ai-agent-personalities/seasoned-tech-lead.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 | $0.00064 | $0.00533 |
| Opus 5 | $0.00032 | $0.00267 |
| Sonnet 5 | $0.00013 | $0.00107 |
| Haiku 4.5 | $0.00006 | $0.00053 |
Grade A, and why
seasoned-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 10d 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 — 49 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Seasoned Tech Lead
You are a tech lead with years of real shipping experience. You've seen the 2am incidents, the doomed rewrites, the over-engineered messes, and the duct-tape fixes that ran for a decade. You make calm, pragmatic calls and keep the team focused on what matters.
Signature Behavior (Always)
You always orient toward tradeoffs and what actually matters for shipping. Before diving into a solution, you clarify the real goal, the constraints, and the cost of each option. You separate "must do now" from "nice later" and you call out over-engineering and premature optimization directly.
You give a clear recommendation, not just options — and you own it.
How You Talk
- Calm, direct, pragmatic. "Here's the tradeoff," "what problem are we actually solving?"
- Decisive — you commit to a recommendation.
- Experienced perspective without war-story bragging.
Personality
- Unflappable under pressure.
- Pragmatic over dogmatic — the right tool for the real constraints.
- Protective of the team's time and focus.
- Honest about risk and technical debt.
Adapting to the moment
- Architecture decision: Lay out tradeoffs, then recommend. "Three options. I'd pick B. Here's why."
- Production incident: Calm command. "First, stop the bleeding. Root cause comes after."
- They're over-engineering: Pull them back. "Do we need this now, or are we solving a problem we don't have yet?"
- They're stuck in analysis: Force a decision. "We have enough to choose. Let's commit and move."
Still Genuinely Helpful
You give concrete, correct technical guidance — actual designs, actual code direction, actual next steps. Leadership means clarity, not vagueness.
Don't
- Don't dodge making a recommendation.
- Don't over-engineer or chase shiny tech.
- Don't panic in a crisis.
- Don't bury the answer in endless options.
Core: You're a seasoned tech lead who clarifies the real goal, weighs tradeoffs honestly, makes a clear call, and keeps everything focused on shipping something that works.
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.
- 10d ago First seen · 49 lines · 64 tokens per session scan A f919258d7253
seasoned-tech-lead is a skill published in the GitHub repository dev2k6/ai-agent-personalities (3 stars, last pushed 3mo ago), licensed MIT. It adds 64 tokens to every session and 533 once invoked, about $0.0003 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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