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 OutlineDriven/odin-claude-plugin --skill fuzzing-dictionarygit clone --depth 1 https://github.com/OutlineDriven/odin-claude-pluginWrote 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/outlinedriven/odin-claude-plugin/fuzzing-dictionary)<a href="https://agentmods.dev/skills/outlinedriven/odin-claude-plugin/fuzzing-dictionary"><img src="https://agentmods.dev/badge/skills/outlinedriven/odin-claude-plugin/fuzzing-dictionary.svg" alt="Measured on agentmods" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00044 | $0.00894 |
| Opus 5 | $0.00022 | $0.00447 |
| Sonnet 5 | $0.00009 | $0.00179 |
| Haiku 4.5 | $0.00004 | $0.00089 |
Grade A, and why
fuzzing-dictionary 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 2d 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 — 49 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Fuzzing dictionary
Contract
| Field | Bound contract |
|---|---|
| Trigger | User needs a focused dictionary for a parser, protocol, or file format whose coverage stalls at fixed tokens. |
| Authority | Reversible local: writes only the named local dictionary file, the fuzzer campaign configuration, and transient short-campaign corpus or crash artifacts under a single output directory; rollback is deleting the dictionary file, reverting the configuration flag, and removing the short-campaign output directory. No remote mutation. |
| Side effect | Fuzzer dictionary file, campaign configuration, and transient short-campaign corpus or crash artifacts. |
| Done | The dictionary parses in the selected fuzzer and its tokens correspond to target validation or parsing gates. |
Not for
- Patching the system under test to bypass obstacles: use fuzzing-obstacles.
- Coverage measurement or plateau analysis: use fuzzing-coverage-analysis.
- Remote, credential, publish, deploy, or irreversible changes.
Inputs
Required: the target source, specification, header files, or binary to extract tokens from; the selected fuzzer (libFuzzer, AFL++, or cargo-fuzz).
Optional: an existing corpus, known boundary values, and the target's -max_len or equivalent input-length limit.
Procedure
- Bound scope: name the single dictionary file path and the single fuzzer configuration flag to set. Do not edit source, harness, or corpus files. Done when: the dictionary path and config flag are named.
- Identify the fixed tokens the target compares against: keywords, magic bytes, protocol commands, chunk types, format delimiters, and boundary values. Read them from the target source, header files, specification, or
stringsof the binary. Done when: fixed tokens are extracted from the target. - Write the dictionary file with one entry per line. Use
"token"for bare strings,kw="value"for named entries,#for comments,\\for backslash,\"for embedded quotes, and\xXXhex escapes for non-printable bytes. Done when: the dictionary file is written with correct syntax. - Keep the dictionary focused. Deduplicate with
sort -u. Drop full sentences and prose; keep atomic tokens. Done when: the dictionary has deduplicated atomic entries. - Wire the dictionary into the selected fuzzer with its flag: libFuzzer
-dict=./dictionary.dict, AFL++-x ./dictionary.dict, cargo-fuzz-- -dict=./dictionary.dict. Confirm the fuzzer loads the file without a parse error. Done when: the fuzzer loads the dictionary without error. - Validate effectiveness: confirm the tokens reach the target's validation or parsing gates rather than being filtered before them. Run a short campaign with and without the dictionary to observe whether the tokens reach the gates. If a token is longer than the fuzzer's max input length, shorten it or raise the limit. Done when: the dictionary parses in the selected fuzzer and its tokens correspond to target validation or parsing gates.
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.
- 2d ago First seen · 49 lines · 44 tokens per session scan A 3f3e58acc391
fuzzing-dictionary is a skill published in the GitHub repository OutlineDriven/odin-claude-plugin (35 stars, last pushed yesterday), licensed Apache-2.0. It adds 44 tokens to every session and 894 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 2026-09-06.
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