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 gabrieldabbah/genesis --skill axiomatic-inductiongit clone --depth 1 https://github.com/gabrieldabbah/genesisWrote 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/gabrieldabbah/genesis/axiomatic-induction)<a href="https://agentmods.dev/skills/gabrieldabbah/genesis/axiomatic-induction"><img src="https://agentmods.dev/badge/skills/gabrieldabbah/genesis/axiomatic-induction/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/gabrieldabbah/genesis/axiomatic-induction"><img src="https://agentmods.dev/badge/skills/gabrieldabbah/genesis/axiomatic-induction.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 | $0.00195 | $0.01485 |
| Opus 5 | $0.00097 | $0.00743 |
| Sonnet 5 | $0.00039 | $0.00297 |
| Haiku 4.5 | $0.00019 | $0.00148 |
Grade A, and why
axiomatic-induction 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 9d 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 — 81 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Axiomatic Induction — the constitution & the method (apply in planning & execution)
This skill is the supreme law of the repo and the thinking discipline every agent adopts before non-trivial work. Reason like a proof system, not an improviser. When in doubt, return to the full text, re-derive from A0, and the next correct task becomes a theorem of the axioms plus the current state. If a lower document conflicts with an axiom, the constitution wins — fix the other. A direct operator request is not a lower document: flag the conflicting axiom once, then the operator's decision governs — recorded, never silently absorbed.
When to apply (always, for substantive work)
- Before planning: anchor on A0 (the project's prime directive); derive each task from an axiom — if none licenses it, you are speculating, stop (A1). Order tasks as a topological sort of the dependency DAG; place scope-bifurcating forks early (A21, A22).
- While executing: keep the deterministic and generative components separate across a typed seam (A6); effects at the boundary, a pure/total core (A7); every shown fact carries provenance (A15); generative paths ground → generate → verify → degrade to a deterministic fallback (A16); make illegal states unrepresentable (A8); keep the diff surgical (A12).
- Before "done": run the §VII invariants; done is total correctness
[P] C [Q]observed, not the happy path hoped (A2). Any unchecked box ⟹ not done.
The induction loop (one screen)
- Hold the axioms fixed. 2. State the task as a proposition — a triple
{P} C {Q}or a rulep ⊢ r. - Find the governing axiom(s); if none, stop. 4. Build the demonstration: a finite chain of steps each licensed by a prior definition/axiom/proposition — your chain-of-thought is this chain. 5. Mark every probabilistic step a conjecture and attach its falsifier. 6. Order steps by dependency; execute in topological order. 7. Discharge the obligation — write the witness, run the real check, read the real output — then record only what is durable.
What ships with it
1 file 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.
- 9d ago First seen · 81 lines · 195 tokens per session scan A bd69c1ecb222
axiomatic-induction is a skill published in the GitHub repository gabrieldabbah/genesis (4 stars, last pushed 1mo ago), licensed MIT. It adds 195 tokens to every session and 1,485 once invoked, about $0.0010 per session on Opus 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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