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 The-Artificer-of-Ciphers-LLC/skills-from-the-artificer --skill lady-lovelaces-objectiongit clone --depth 1 https://github.com/The-Artificer-of-Ciphers-LLC/skills-from-the-artificerWrote 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/the-artificer-of-ciphers-llc/skills-from-the-artificer/lady-lovelaces-objection)<a href="https://agentmods.dev/skills/the-artificer-of-ciphers-llc/skills-from-the-artificer/lady-lovelaces-objection"><img src="https://agentmods.dev/badge/skills/the-artificer-of-ciphers-llc/skills-from-the-artificer/lady-lovelaces-objection/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/the-artificer-of-ciphers-llc/skills-from-the-artificer/lady-lovelaces-objection"><img src="https://agentmods.dev/badge/skills/the-artificer-of-ciphers-llc/skills-from-the-artificer/lady-lovelaces-objection.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 | $0.00112 | $0.00822 |
| Opus 5.5 | $0.00045 | $0.00329 |
| Sonnet 5.5 | $0.00022 | $0.00164 |
| Haiku 4.5 | $0.00011 | $0.00082 |
Grade A, and why
lady-lovelaces-objection 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 — 67 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Lady Lovelace's Objection
"The Analytical Engine has no pretensions to originate anything. It can do whatever we know how to order it to perform." — Ada Lovelace, 1842
The core idea
Ada Lovelace, writing about Charles Babbage's mechanical Analytical Engine, articulated what became one of the most enduring objections to machine intelligence: a computer does only what it was programmed to do. It doesn't originate. It doesn't create. It executes instructions.
Alan Turing named this "Lady Lovelace's Objection" in his landmark 1950 paper Computing Machinery and Intelligence, where he took it seriously enough to address it directly.
The objection stated clearly
Lovelace's claim has two parts:
- Computers execute instructions given to them by humans.
- Therefore, any "creativity" in the output is really the creativity of the programmer, not the machine.
The machine is a medium, not an author. The originality comes from whoever specified the program.
Turing's response
Turing didn't dismiss the objection — he acknowledged its force. His response:
- We don't fully understand how the human brain works either. If a machine produces surprising outputs, why attribute surprise only to the programmer?
- A child can produce results that surprise their teacher. We don't say the teacher is the only creative one.
- A machine that learns from data and produces outputs its creators didn't explicitly specify is doing something meaningfully different from executing a hand-coded procedure.
His deeper point: as machines become more sophisticated, the line between "following instructions" and "originating" becomes harder to draw.
Why this matters in the age of AI
Large language models, image generators, and code assistants complicate the Lovelace picture significantly:
- Their outputs are not explicitly programmed — they emerge from statistical patterns in training data.
- They produce outputs their creators genuinely did not anticipate and cannot fully predict.
- They sometimes combine ideas in ways no human has explicitly specified.
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 · 67 lines · 112 tokens per session scan A a58a540ca27f
lady-lovelaces-objection is a skill published in the GitHub repository The-Artificer-of-Ciphers-LLC/skills-from-the-artificer (6 stars, last pushed yesterday), licensed MIT. It adds 112 tokens to every session and 822 once invoked, about $0.0004 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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