Borrowing it
Nothing to install: this file belongs to luthersystems/elps. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/luthersystems/elps/main/.claude/skills/fuzz/SKILL.mdgit clone --depth 1 https://github.com/luthersystems/elpsWrote 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/luthersystems/elps/fuzz)<a href="https://agentmods.dev/skills/luthersystems/elps/fuzz"><img src="https://agentmods.dev/badge/skills/luthersystems/elps/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/luthersystems/elps/fuzz"><img src="https://agentmods.dev/badge/skills/luthersystems/elps/fuzz.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 | $0.00000 | $0.01255 |
| Opus 5.5 | $0.00000 | $0.00502 |
| Sonnet 5.5 | $0.00000 | $0.00251 |
| Haiku 4.5 | $0.00000 | $0.00126 |
Grade A, and why
fuzz scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 93 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/fuzz — Native Go Fuzzing Skill
Runs the repository's go test -fuzz targets, adds new ones, and triages
crashers. CI runs .github/workflows/fuzz.yml: 30s per target on PRs, 10m per
target nightly, sharded.
Trigger
Use when asked to fuzz, add or change a fuzz target, investigate a fuzz CI
failure, or triage a file under some package's testdata/fuzz/<Target>/.
Run
make fuzz-list # authoritative list of targets (discovered with go test -list)
make fuzz # every target, 30s each (the PR budget)
make fuzz FUZZTIME=10m # the nightly budget
make fuzz FUZZ_PKGS=./parser/rdparser/... # one package
go test -run='^$' -fuzz='^FuzzEval$' -fuzztime=60s ./lisp/ # one target by hand
scripts/fuzz.sh refuses to run without a parsable FUZZTIME and caps every
invocation with a hard -timeout; never write a -fuzz invocation without
-fuzztime (CI checks for that). FUZZ_TAGS=elpscheck fuzzes the tagged
build, whose targets are otherwise invisible.
Plain go test ./... (and so make test) replays every committed seed and
crasher in testdata/fuzz/ as a regression case.
Triage a crasher
- Find it:
go test -fuzzwritestestdata/fuzz/<Target>/<hash>in the target's package; CI uploads the same file as an artifact. - Reproduce without fuzzing:
go test -run='^<Target>$/^<hash>$' ./<pkg>/. - Classify: a real defect in the code under test, a harness defect (budget
too small for a terminating program, a watchdog on wall clock), or a
toolchain race.
make fuzz-classify-testcovers howscripts/fuzz.shreports each; read its output before assuming the product is at fault. - Fix the root cause with a focused regression test, and commit the
crasher file so
go testkeeps replaying it.
Add a target
- Put it in the package's
fuzz_test.go(or<area>_fuzz_test.go), namedFuzzXxx. Discovery is automatic — there is no registration table. - Seed from
internal/fuzzseed(All(),LispSources(),Adversarial(),Pathological()) plus target-specific adversarial input. - Assert a property with teeth (round-trip equality, no internal panic, termination), not merely "did not crash".
- Any termination watchdog must use
internal/fuzzwatch(scheduled-time budget, with a floor enforced by its call-site guard test), not a baretime.After. - Run
make fuzz-budget-check: each new target adds aFUZZTIMEto the nightly sweep, and the check derives whetherfuzz.yml'stimeout-minutesstill holds. Follow its printed options rather than raising the timeout by hand. - After touching
scripts/fuzz.shorfuzz.yml, runmake ci-gates-testandmake fuzz-classify-test.
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 · 93 lines · 0 tokens per session scan A ec04954b116f
fuzz is a skill published in the GitHub repository luthersystems/elps (36 stars, last pushed today), licensed BSD-3-Clause. It costs nothing until one of its globs matches a file; then it loads 1,255 tokens. 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 2026-10-26.
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