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 libfuzzergit 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/libfuzzer)<a href="https://agentmods.dev/skills/outlinedriven/odin-claude-plugin/libfuzzer"><img src="https://agentmods.dev/badge/skills/outlinedriven/odin-claude-plugin/libfuzzer.svg" alt="Measured on agentmods" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 3 findings, 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 MCP Rug Pull · line 32 Docker image references without a specific tag (:latest is implicit) or digest (@sha256:...) can be silently replaced by a malicious image.Fix: Pin the image: image:tag or image@sha256:abc123
- medium MCP Rug Pull · line 32 Docker image references without a specific tag (:latest is implicit) or digest (@sha256:...) can be silently replaced by a malicious image.Fix: Pin the image: image:tag or image@sha256:abc123
- low Tool Misuse · line 32 Tool parameters are crafted to achieve unintended or unsafe behavior. Parameter abuse can bypass intended safety checks (e.g. shell=True, --force, dangerous glob patterns).Fix: Validate all tool parameters against an allowlist. Reject dangerous parameter values (shell=True, --force, -rf /) and use safe defaults.
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 | $0.00045 | $0.03789 |
| Opus 5 | $0.00023 | $0.01895 |
| Sonnet 5 | $0.00009 | $0.00758 |
| Haiku 4.5 | $0.00005 | $0.00379 |
Grade A, and why
libfuzzer 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 — 133 lines — stays where its author put it; the contents beside it link to each section on GitHub.
libFuzzer and AFL++
Contract
| Field | Bound contract |
|---|---|
| Trigger | User needs to build, run, tune, or triage a coverage-guided C/C++ fuzzing campaign or LLVMFuzzerTestOneInput harness on the libFuzzer engine (default) or the AFL++ engine (afl mode). |
| Authority | Human-gated: in afl mode, request explicit user approval before a package installation or a Docker image pull; otherwise reversible local: writes only named fuzzing artifacts (binary, corpus and output directories, crash files, logs); rollback is deleting them and killing campaign processes. Kernel-tuning steps that need a reboot or degrade OS security are out of scope. No remote mutation. |
| Side effect | Local write to a compiled fuzzing binary, its corpus or output directory, log files, and any crash artifacts written by the target; afl mode may run a short-lived Docker container. |
| Done | The instrumented binary runs against its corpus and any crash artifact reproduces in the same target with identical sanitizer output or signal. |
Inputs
- Required: Engine:
libfuzzer(default) orafl. - Required: Source or object files for the code under test.
- Required (libfuzzer engine): Clang compiler (
clang++) with the libFuzzer runtime present, and oneLLVMFuzzerTestOneInputharness function visible to the linker. - Required (afl engine):
afl-fuzzon the host or theaflplusplus/aflplusplusDocker image, and a harness or a program that reads stdin, files, or argv. - Optional: Seed corpus directory. It may be empty; when omitted, create
./corpus/(libfuzzer) orseeds/with one non-empty file (afl). - Optional: Fuzzing dictionary file (see Dictionary format below).
- Optional (libfuzzer): Clang build flags:
-fsanitize=address,-fsanitize=undefined,-g,-O2,-max_len,-dict,-timeout,-close_fd_mask,-fork,-ignore_crashes. - Optional (afl): run location host or Docker (default Docker); instrumentation mode LTO, LLVM, or GCC (default tries LTO, falls back to LLVM); core count (default single instance); sanitizer selection ASan, UBSan, or none (default none).
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 · 133 lines · 45 tokens per session scan A 1a63b067a964
libfuzzer is a skill published in the GitHub repository OutlineDriven/odin-claude-plugin (35 stars, last pushed yesterday), licensed Apache-2.0. It adds 45 tokens to every session and 3,789 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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