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 UnboundCompute/security-agent-skills --skill hunting-unicode-normalization-and-canonicalization-bypassgit clone --depth 1 https://github.com/UnboundCompute/security-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/unboundcompute/security-agent-skills/hunting-unicode-normalization-and-canonicalization-bypass)<a href="https://agentmods.dev/skills/unboundcompute/security-agent-skills/hunting-unicode-normalization-and-canonicalization-bypass"><img src="https://agentmods.dev/badge/skills/unboundcompute/security-agent-skills/hunting-unicode-normalization-and-canonicalization-bypass/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/unboundcompute/security-agent-skills/hunting-unicode-normalization-and-canonicalization-bypass"><img src="https://agentmods.dev/badge/skills/unboundcompute/security-agent-skills/hunting-unicode-normalization-and-canonicalization-bypass.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 | $0.00162 | $0.02184 |
| Opus 5.5 | $0.00065 | $0.00874 |
| Sonnet 5.5 | $0.00032 | $0.00437 |
| Haiku 4.5 | $0.00016 | $0.00218 |
Grade A, and why
hunting-unicode-normalization-and-canonicalization-bypass 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 — 142 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Hunting unicode normalization and canonicalization bypass: when the check and the sink read different strings
A security check compares a string against a rule: this path stays under the root, this name is not on the denylist, this identifier equals the owner's. The comparison is only sound if the string being checked is the same string the sink will act on. Text has many representations, and systems transform it constantly: they normalize Unicode, decode percent- or entity-encoding, and fold case, often after the check has already passed. When the transform happens between the check and the sink, an attacker submits a form that looks safe to the check and becomes dangerous at the sink. A denied word slips through in a composed form that normalizes back to it; an identity check passes because two different code points fold to the same letter; a homoglyph domain reads as the real one. The bug is an ordering bug: canonicalize after you check. You find these by locating each security decision and asking whether it runs on the same canonical form the sink uses.
When to use
- An authorization, filter, allowlist, or denylist decision runs on a string that is later transformed.
- Path containment, host comparison, or an identifier equality check precedes a decode or normalization.
- Usernames, emails, domains, or filenames are compared or displayed across scripts and encodings.
Scope check
Test normalization and canonicalization behavior only against systems you own or are authorized to assess, from test accounts, using benign markers to demonstrate that a check is bypassed rather than acting on the access it grants. A confirmed bypass reaches protected functions or identities, so stay within the authorized scope. If you can't name the authorization, stop.
The loop
- Establish whether the check and the sink use the same canonical form first. For each security decision, determine the representation it inspects and the representation the sink finally acts on, and whether any normalization, decoding, or case-folding happens between them. This is the false-positive killer: a system that canonicalizes input to a single form and then both checks and acts on that form is not bypassable, while one that checks the raw or partly-decoded input and transforms it afterward is. Name the order of check and transform before crafting input.
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 · 142 lines · 162 tokens per session scan A f6e59f2a3486
hunting-unicode-normalization-and-canonicalization-bypass is a skill published in the GitHub repository UnboundCompute/security-agent-skills (5 stars, last pushed 1mo ago), licensed MIT. It adds 162 tokens to every session and 2,184 once invoked, about $0.0006 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 2026-09-05.
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