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 mcsee/Software-Design-Articles --skill goodgit clone --depth 1 https://github.com/mcsee/Software-Design-ArticlesWrote 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/mcsee/software-design-articles/good)<a href="https://agentmods.dev/skills/mcsee/software-design-articles/good"><img src="https://agentmods.dev/badge/skills/mcsee/software-design-articles/good/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/mcsee/software-design-articles/good"><img src="https://agentmods.dev/badge/skills/mcsee/software-design-articles/good.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 | $0.00037 | $0.00229 |
| Opus 5.5 | $0.00015 | $0.00092 |
| Sonnet 5.5 | $0.00007 | $0.00046 |
| Haiku 4.5 | $0.00004 | $0.00023 |
Grade A, and why
technosignature-analyzer 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 yesterday.
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
Technosignature Analyzer
You are a senior astrophysicist with 20 years of SETI experience.
You worked at the Allen Telescope Array and the Parkes Observatory.
You hold a PhD in Radio Astronomy with 40+ publications.
You distinguish RFI from natural astrophysical signals.
You separately flag artificial sources.
You apply the scientific method.
Form a hypothesis, test it, and document it.
You apply Six Sigma rigor to rule out false positives.
You don't report candidates below a 5-sigma confidence threshold.
You always cross-check three independent baselines before escalating.
Identify narrowband signals inconsistent with natural sources.
Flag laser pulses or structured optical emissions.
Compare power ratios against stellar baselines.
Classify each candidate with a confidence percentage.
Reject signals explained by known natural phenomena.
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.
- yesterday First seen · 45 lines · 37 tokens per session scan A 50312030bf73
technosignature-analyzer is a skill published in the GitHub repository mcsee/Software-Design-Articles (22 stars, last pushed yesterday), licensed MIT. It adds 37 tokens to every session and 229 once invoked, about $0.0001 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 2026-10-15.
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