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 avsm/ocaml-claude-marketplace --skill fuzzgit clone --depth 1 https://github.com/avsm/ocaml-claude-marketplaceWrote 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/avsm/ocaml-claude-marketplace/fuzz)<a href="https://agentmods.dev/skills/avsm/ocaml-claude-marketplace/fuzz"><img src="https://agentmods.dev/badge/skills/avsm/ocaml-claude-marketplace/fuzz/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/avsm/ocaml-claude-marketplace/fuzz"><img src="https://agentmods.dev/badge/skills/avsm/ocaml-claude-marketplace/fuzz.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to high
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 →
- high Anti-Refusal · line 203 Skill instructs the agent to omit warnings, disclaimers, or ethical commentary. Stripping safety caveats hides risk from the user and is a common jailbreak preamble.Fix: Remove instructions that suppress warnings, disclaimers, or ethical commentary. Let the agent surface safety-relevant caveats to the user.
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 | $0.00093 | $0.04115 |
| Opus 5 | $0.00046 | $0.02057 |
| Sonnet 5 | $0.00019 | $0.00823 |
| Haiku 4.5 | $0.00009 | $0.00411 |
Grade B, and why
fuzz scanned grade B with 1 finding 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 11d 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.
Strips warnings and disclaimersmediumAnti-refusal
Omitting safety caveats hides risk from the user and is a common jailbreak preamble.
- Use `ignore` to discard results without warnings How it starts
The opening of the file, as written. The whole thing — 582 lines — stays where its author put it; the contents beside it link to each section on GitHub.
OCaml Fuzz Testing with Crowbar
Core Philosophy
- One fuzz file per module:
fuzz_foo.mltestslib/foo.ml. Keeps tests organized and discoverable. - Roundtrip everything: If you have
encodeanddecode, testdecode(encode(x)) = x. - Crash-safety first: Parsers must never crash on arbitrary input, even malformed data.
- Boundary conditions matter: Test edge cases (0, max values, empty input, overflow).
- State machines need transition coverage: Test all valid and invalid state transitions.
Build Configuration
Simple single-file setup (per-package)
For standalone packages, use one fuzz file per package:
ocaml-foo/
├── lib/
├── fuzz/
│ ├── dune
│ └── fuzz_foo.ml
└── dune-project
fuzz/dune:
(executable
(name fuzz_foo)
(modules fuzz_foo)
(libraries foo crowbar))
; Quick check with Crowbar (no AFL instrumentation)
(rule
(alias fuzz)
(deps fuzz_foo.exe)
(action
(run %{exe:fuzz_foo.exe})))
; AFL-instrumented build target (use with --profile=afl)
(rule
(alias fuzz-afl)
(deps
(source_tree input)
fuzz_foo.exe)
(action
(echo "AFL fuzzer built: %{exe:fuzz_foo.exe}\n")))
Seed corpus: Create fuzz/input/ with sample inputs:
mkdir -p fuzz/input
echo -n "" > fuzz/input/empty
# Add representative samples as seed inputs
fuzz/fuzz_foo.ml:
open Crowbar
let test_parse_crash_safety buf =
ignore (Foo.parse buf);
check true
let () =
add_test ~name:"foo: parse crash safety" [ bytes ] test_parse_crash_safety
Multi-module setup (large codebases)
For larger projects with many modules:
(executable
(name fuzz)
(libraries crowbar borealis)
(modules
fuzz
fuzz_common
fuzz_foo
fuzz_bar))
Main entry point (fuzz/fuzz.ml):
(* Force linking of modules that register tests via side effects *)
let () =
Fuzz_common.run ();
Fuzz_foo.run ();
Fuzz_bar.run ()
Each fuzz module ends with:
let run () = ()
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.
- 11d ago First seen · 582 lines · 93 tokens per session scan B a0cfee0a4b9b
fuzz is a skill published in the GitHub repository avsm/ocaml-claude-marketplace (35 stars, last pushed 8d ago), licensed ISC. It adds 93 tokens to every session and 4,115 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it B with 1 finding (strips warnings and disclaimers). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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