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 temporal-coalgebragit 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/temporal-coalgebra)<a href="https://agentmods.dev/skills/plurigrid/asi/temporal-coalgebra"><img src="https://agentmods.dev/badge/skills/plurigrid/asi/temporal-coalgebra/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/temporal-coalgebra"><img src="https://agentmods.dev/badge/skills/plurigrid/asi/temporal-coalgebra.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 | $0.00025 | $0.01720 |
| Opus 5 | $0.00013 | $0.00860 |
| Sonnet 5 | $0.00005 | $0.00344 |
| Haiku 4.5 | $0.00003 | $0.00172 |
Grade A, and why
temporal-coalgebra 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 8d 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 — 253 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Temporal Coalgebra Skill: Observation Duality
Status: ✅ Production Ready Trit: -1 (MINUS - validator/observer) Color: #2626D8 (Blue) Principle: Observe behaviors → Verify equivalence Frame: Final coalgebra with stream coalgebra traces
Overview
Temporal Coalgebra is the dual of algebra: where algebra constructs, coalgebra observes. Implements:
- Observation functor: O: Derivation → Observation
- Final coalgebra: νF for maximal bisimulation
- Stream coalgebra: Infinite traces with head/tail
- three-match integration: Game verification via bisimulation
Correct by construction: Two systems are equivalent iff they are bisimilar (observationally indistinguishable).
Core Formula
Coalgebra: (X, γ: X → F(X)) # State → Observable structure
Final: νF = lim F^n(1) # Greatest fixpoint
Bisimulation R ⊆ X × Y:
(x, y) ∈ R ⟹ F(R)(γ_X(x), γ_Y(y))
For derivation observation:
# Observe derivation stream
observe(derivation) = { head: current_step, tail: rest_of_derivation }
# Two derivations are equivalent iff:
bisimilar?(d1, d2) == (observe(d1).head == observe(d2).head &&
bisimilar?(observe(d1).tail, observe(d2).tail))
Why Coalgebra for Verification?
- Behavioral equivalence: Same observations = same system
- Infinite structures: Streams, trees, processes
- Game semantics: Attacker/defender games are coalgebraic
- Lazy evaluation: Observe only what's needed
Gadgets
1. ObservationFunctor
Transform derivations into observations:
functor = TemporalCoalgebra::ObservationFunctor.new(
source: :derivation_chain,
target: :observation_stream
)
observation = functor.apply(derivation)
observation.head # => current observable state
observation.tail # => remaining stream (lazy)
observation.finite? # => false (potentially infinite)
2. FinalCoalgebra
Construct the final coalgebra for type F:
final = TemporalCoalgebra::FinalCoalgebra.new(
functor: stream_functor,
approximation_depth: 100
)
final.carrier # => νF (greatest fixpoint)
final.universal?(coal) # => check if coal maps uniquely
final.unfold(seed) # => generate infinite structure
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.
- 8d ago First seen · 253 lines · 25 tokens per session scan A 5c725a6f4335
temporal-coalgebra is a skill published in the GitHub repository plurigrid/asi (64 stars, last pushed 2mo ago), licensed MIT. It adds 25 tokens to every session and 1,720 once invoked, about $0.0001 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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