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 hamzabellouch/agent-skills --skill functional-analysisgit clone --depth 1 https://github.com/hamzabellouch/agent-skillsWrote 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/hamzabellouch/agent-skills/functional-analysis)<a href="https://agentmods.dev/skills/hamzabellouch/agent-skills/functional-analysis"><img src="https://agentmods.dev/badge/skills/hamzabellouch/agent-skills/functional-analysis/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/hamzabellouch/agent-skills/functional-analysis"><img src="https://agentmods.dev/badge/skills/hamzabellouch/agent-skills/functional-analysis.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 | $0.00022 | $0.00198 |
| Opus 5.5 | $0.00009 | $0.00079 |
| Sonnet 5.5 | $0.00004 | $0.00040 |
| Haiku 4.5 | $0.00002 | $0.00020 |
Grade A, and why
functional-analysis 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.
What it actually says
Functional Analysis
Domain
Infinite-dimensional vector spaces and operators.
Core Concepts
- Normed, Banach, Hilbert spaces
- Bounded and compact operators
- Dual spaces, weak topologies
- Spectral theory
- Distributions
Key Methods
- Hahn–Banach theorem
- Open mapping, closed graph theorems
- Riesz representation
- Spectral theorem for self-adjoint operators
Canonical Examples
- L²[a,b] is a Hilbert space.
- Fourier series as orthogonal expansion.
- Compact operators have discrete spectra.
Common Pitfalls
- Assuming finite-dimensional intuition carries
- Confusing weak and strong convergence
- Ignoring completeness
Related Skills
Real Analysis, PDEs, Quantum Mechanics
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.
- 7d ago First seen · 38 lines · 22 tokens per session scan A ac748430acb5
functional-analysis is a skill published in the GitHub repository hamzabellouch/agent-skills (8 stars, last pushed today), licensed MIT. It adds 22 tokens to every session and 198 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 2026-10-10.
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