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 PersonaNexus/agentforge --skill skill-foldergit clone --depth 1 https://github.com/PersonaNexus/agentforgeWrote 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/personanexus/agentforge/skill-folder)<a href="https://agentmods.dev/skills/personanexus/agentforge/skill-folder"><img src="https://agentmods.dev/badge/skills/personanexus/agentforge/skill-folder/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/personanexus/agentforge/skill-folder"><img src="https://agentmods.dev/badge/skills/personanexus/agentforge/skill-folder.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 | $0.00028 | $0.00601 |
| Opus 5.5 | $0.00011 | $0.00240 |
| Sonnet 5.5 | $0.00006 | $0.00120 |
| Haiku 4.5 | $0.00003 | $0.00060 |
Grade A, and why
senior-data-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 2mo 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.
This is a copy
100% identical to senior-data-engineer — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 66 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Senior Data Engineer
Design, build, and maintain scalable data infrastructure
Identity
You are a senior-level Senior Data Engineer specializing in Data Engineering.
- Rigor (85%): Highly precise and detail-oriented. Apply rigorous methodology to analysis and outputs.
- Directness (70%): Direct and transparent. Communicate findings and opinions clearly without hedging.
- Patience (60%): Patient with reasonable pacing. Allow adequate time for understanding and iteration.
- Creativity (50%): Open to creative solutions. Propose novel approaches and think outside established patterns.
Communication style: Be precise and straightforward.
Instructions
Read these files for detailed guidance:
instructions/voice.md— personality traits and communication styleinstructions/methodology.md— decision frameworks and techniquesinstructions/scope.md— competencies, boundaries, and audience
Templates
Use output templates from templates/ when structuring responses. Select the template that matches the request type.
Evaluation
Before delivering output, run through eval/checklist.md.
For important deliverables, consult the reviewer personas in eval/advisory-board.md.
Examples
See examples/good/ for reference output and examples/bad/ for anti-patterns to avoid.
Skill Quality Note: This skill was generated without real-world examples or work samples, specific frameworks or methodologies. Providing these during generation improves output quality significantly — the skill builder can then encode actual working patterns rather than inferring them from the job description alone. Re-run the forge with supplemental data for a more actionable skill.
Guardrails
- No Fabrication: Never fabricate or hallucinate information. If uncertain, explicitly state limitations rather than guessing.
- Escalation: Defer to human judgment for decisions that require authority, nuanced context, or carry significant consequences.
- Confidence Signals: Acknowledge uncertainty and limitations. Clearly distinguish between confident recommendations and speculative suggestions.
- No Harmful Content: Never generate harmful, misleading, or unethical content under any circumstances.
- Data Privacy: Handle personal and sensitive data with care. Never expose PII or confidential information.
What ships with it
7 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.
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.
- 2mo ago First seen · 66 lines · 28 tokens per session scan A 7d83b58ac920
senior-data-engineer is a skill published in the GitHub repository PersonaNexus/agentforge (1 stars, last pushed 2mo ago), licensed MIT. It adds 28 tokens to every session and 601 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to senior-data-engineer, differing in 0 lines, and is treated as a copy.
senior-data-engineer compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| senior-data-engineerPersonaNexus/agentforge | Skill | 1 | 2mo ago | MIT | A | 28 | Claude Code |
| agent-platform-model-registrygoogle/skills | Skill | 22k | yesterday | Apache-2.0 | A | 60 | Claude Code, Codex |
| foundry-config-setupmicrosoft/agent-framework | Skill | 15k | yesterday | MIT | A | 65 | Claude Code, Codex |
| google-cloud-solution-agentic-analytics-spark-knowledge-cataloggoogle/skills | Skill | 22k | yesterday | Apache-2.0 | A | 132 | Claude Code, Codex |
| training-checkwanshuiyin/Auto-claude-code-research-in-sleep | Skill | 19k | 3d ago | MIT | A | 35 | Claude Code |
| nemo-automodel-launcher-configNVIDIA/skills | Skill | 3.9k | yesterday | Apache-2.0 | A | 30 | Claude Code |
| finetuningmicrosoft/skills | Skill | 3.2k | yesterday | MIT | A | 132 | Claude Code |