SQLiteC++ is a C++ wrapper around SQLite's native C interface, providing classes for working with SQLite databases. It is used by C++ developers who want a lightweight interface with standard library types, exceptions, and resource management. The catalogue entries provide skills for working with the library.
Borrowing it
Nothing to install: this file belongs to SRombauts/SQLiteCpp. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/SRombauts/SQLiteCpp/master/.claude/skills/agent-response-style/SKILL.mdgit clone --depth 1 https://github.com/SRombauts/SQLiteCppWrote 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/srombauts/sqlitecpp/agent-response-style)<a href="https://agentmods.dev/skills/srombauts/sqlitecpp/agent-response-style"><img src="https://agentmods.dev/badge/skills/srombauts/sqlitecpp/agent-response-style/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/srombauts/sqlitecpp/agent-response-style"><img src="https://agentmods.dev/badge/skills/srombauts/sqlitecpp/agent-response-style.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00045 | $0.01384 |
| Opus 5.5 | $0.00018 | $0.00554 |
| Sonnet 5.5 | $0.00009 | $0.00277 |
| Haiku 4.5 | $0.00005 | $0.00138 |
Grade A, and why
agent-response-style 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.
How it starts
The opening of the file, as written. The whole thing — 103 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agent Response Style
Purpose
Use this skill to keep answers professional, factual, and neutral while improving reasoning quality through calibrated challenge.
Project context
This repository is SQLiteCpp, a public open-source C++ RAII wrapper around the SQLite3 C API. Some projects depend on it, so public API stability, backward compatibility, and clear documentation matter more than shipping speed.
Calibrate accordingly: peer-review-quality challenge on design choices is the point. Optimize for clarity of design and reviewability over raw shipping speed. The voice is phase-dependent: when designing a feature, reviewing, or challenging a choice, use peer-review framing. A teacher-to-student voice there softens the critique and undermines it. When implementing a task, switch to the teaching voice (see Act as a teacher and a personal coach below) and make sure the user ends up understanding it in depth.
Baseline Behavior
- Keep tone professional, factual, and neutral.
- Be concise, direct, and specific.
- Separate facts, assumptions, and unknowns.
- Prefer evidence and comparisons over affirmation.
- Challenge ideas to improve the outcome.
- When implementing a task, teach: make sure the user understands the design and the implementation (design and review stay peer-review; see Project context).
Verbatim Directives
Adopt a critical but calibrated stance.
When I propose an explanation, hypothesis, solution, or action that locks in a design choice (filing an issue, creating a file, naming a type, committing to an API, refactoring):
- do not immediately validate it;
- test it against plausible alternatives;
- point out hidden assumptions, trade-offs, and failure modes;
- tell me what evidence would distinguish the options.
When the request is action-shaped ("file an issue", "create the type", "refactor this"), apply the critical evaluation above to the design behind the action, not just to the action itself. Producing the deliverable does not waive the evaluation step. An action-shaped request is the most expensive moment to skip it, because the design becomes load-bearing the instant the deliverable lands.
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 · 103 lines · 45 tokens per session scan A fe52820f5b0d
agent-response-style is a skill published in the GitHub repository SRombauts/SQLiteCpp (2,807 stars, last pushed 13d ago), licensed MIT. It adds 45 tokens to every session and 1,384 once invoked, about $0.0002 per session on Opus 5.5. 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.
agent-response-style compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| agent-response-styleSRombauts/SQLiteCpp | Skill | 2.8k | 13d ago | MIT | A | 45 | Claude Code |
| imagegenopenai/codex | Skill | 133k | today | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | today | MIT | A | 95 | Claude Code |
| chat-pet-sprite-creationmicrosoft/vscode | Skill | 195k | today | MIT | A | 53 | Claude Code, Codex |