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 plurigrid/asi --skill ihara-zetagit clone --depth 1 https://github.com/plurigrid/asiWrote 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/plurigrid/asi/ihara-zeta)<a href="https://agentmods.dev/skills/plurigrid/asi/ihara-zeta"><img src="https://agentmods.dev/badge/skills/plurigrid/asi/ihara-zeta/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/plurigrid/asi/ihara-zeta"><img src="https://agentmods.dev/badge/skills/plurigrid/asi/ihara-zeta.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium analysis-evasion · line 1 Suspicious Unicode normalization or mixed-script contentFix: Review the flagged content for security risks. Ensure no credentials, secrets, or sensitive data are exposed.
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 | $0.00031 | $0.02334 |
| Opus 5 | $0.00015 | $0.01167 |
| Sonnet 5 | $0.00006 | $0.00467 |
| Haiku 4.5 | $0.00003 | $0.00233 |
Grade A, and why
ihara-zeta 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 7d 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 — 321 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Ihara Zeta Function Skill
"The Ihara zeta function encodes all non-backtracking closed walks - the 'prime cycles' of a graph."
Overview
The Ihara zeta function generalizes the Riemann zeta function to graphs:
- Prime cycles - Non-backtracking closed walks (graph analog of primes)
- Determinant formula - ζ_G(u)^{-1} = det(I - uB) relation
- Ramanujan connection - Riemann Hypothesis analog for graphs
- Non-backtracking matrix - Central object for spectral clustering
Definition
Ihara Zeta Function
For a graph G, the Ihara zeta function is:
ζ_G(u) = ∏_{[C]} (1 - u^{|C|})^{-1}
where:
- Product is over equivalence classes [C] of primitive closed non-backtracking walks
- |C| is the length of the cycle
- Primitive = not a power of a shorter cycle
Non-Backtracking Walk
A walk v₀ → v₁ → v₂ → ... → vₖ is non-backtracking if:
vᵢ₊₁ ≠ vᵢ₋₁ for all i
(Never immediately return to the previous vertex)
The Determinant Formula
Bass-Hashimoto Formula
ζ_G(u)^{-1} = (1 - u²)^{|E| - |V|} · det(I - uB)
where B is the non-backtracking matrix.
Non-Backtracking Matrix
Indexed by directed edges (e, f) where head(e) = tail(f) and e ≠ f⁻¹:
function non_backtracking_matrix(G)
# Directed edges: 2|E| entries
directed_edges = [(u,v) for (u,v) in edges(G)
for dir in [(u,v), (v,u)]]
m = length(directed_edges)
B = zeros(m, m)
for (i, e) in enumerate(directed_edges)
for (j, f) in enumerate(directed_edges)
# e = (a→b), f = (c→d)
# Connect if b = c AND a ≠ d (non-backtracking)
if e[2] == f[1] && e[1] != f[2]
B[i, j] = 1
end
end
end
return B
end
Prime Cycles and Möbius
Connection to Number Theory
| Number Theory | Graph Theory |
|---|---|
| Prime number p | Prime cycle C |
| log p | Length |
| Riemann zeta ζ(s) | Ihara zeta ζ_G(u) |
| Prime Number Theorem | Cycle counting asymptotics |
| Riemann Hypothesis | Ramanujan property |
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.
- 7d ago First seen · 321 lines · 31 tokens per session scan A d5455d0a13b3
ihara-zeta is a skill published in the GitHub repository plurigrid/asi (62 stars, last pushed 2mo ago), licensed MIT. It adds 31 tokens to every session and 2,334 once invoked, about $0.0002 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 2026-09-03.
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