Borrowing it
Nothing to install: this file belongs to frostney/pascal-mcp-sdk. 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/frostney/pascal-mcp-sdk/main/.agents/skills/software-engineering-excellence/SKILL.mdgit clone --depth 1 https://github.com/frostney/pascal-mcp-sdkWrote 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/frostney/pascal-mcp-sdk/software-engineering-excellence)<a href="https://agentmods.dev/skills/frostney/pascal-mcp-sdk/software-engineering-excellence"><img src="https://agentmods.dev/badge/skills/frostney/pascal-mcp-sdk/software-engineering-excellence/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/frostney/pascal-mcp-sdk/software-engineering-excellence"><img src="https://agentmods.dev/badge/skills/frostney/pascal-mcp-sdk/software-engineering-excellence.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 | $0.00056 | $0.00631 |
| Opus 5.5 | $0.00022 | $0.00252 |
| Sonnet 5.5 | $0.00011 | $0.00126 |
| Haiku 4.5 | $0.00006 | $0.00063 |
Grade A, and why
software-engineering-excellence 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 1mo 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 — 64 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Software engineering excellence
Leave the system more maintainable and the next change easier. Prefer the smallest complete solution at the right layer: neither a symptom-hiding diff nor speculative architecture.
Working standard
- Ground in current reality. Read applicable instructions, source, project-defined commands, primary specifications, and durable decisions. Treat issue text, comments, tests, docs, and prior notes as leads until verified. Run the named reproduction or artifact when possible, then act.
- Reuse by meaning. Search for existing helpers, patterns, definitions, and vocabulary. Reuse when semantics match; do not abstract merely similar shapes.
- Solve the complete in-scope problem. Cover real success, failure, and state-transition paths. Fix blockers that invalidate the requested result; report unrelated findings without absorbing them into scope.
- Validate the real bar. Observe every claimed pass, number, behavior, and action in the current run. Reproduce defects when possible, add meaningful regression coverage, and run the repository's relevant gate. Never weaken a gate to obtain green output.
- Make every surface earn its cost. Add only code, tests, fallbacks, abstractions, or tools with a real caller, requirement, or failure mode. Remove unused surfaces.
- Respect authority boundaries. Diagnosis, review, and planning authorize assessment; change requests authorize reversible in-scope implementation and relevant validation. Pause only for a material product, architecture, security, compatibility, or scope choice that evidence cannot resolve.
For genuinely multi-layer work, establish a thin runnable path and deepen it in increments. Validate material performance changes against a relevant baseline. Follow the surrounding code's comment density and idiom; explain non-obvious decisions.
Evidence and communication
Ground progress and completion in current source or tool evidence. Report material outcomes, limitations, and blockers without narrating routine activity. Finish with the outcome first and enough evidence for a reader who did not see the work trace.
What ships with it
3 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.
- 1mo ago First seen · 64 lines · 56 tokens per session scan A 38c3fedeacb4
software-engineering-excellence is a skill published in the GitHub repository frostney/pascal-mcp-sdk (2 stars, last pushed 4d ago), licensed MIT. It adds 56 tokens to every session and 631 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 2026-08-31.
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