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 agentmods add skills/projectbluefin/testsuite/behavenpx skills add projectbluefin/testsuite --skill behavegit clone --depth 1 https://github.com/projectbluefin/testsuiteWhat 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 | $0.00027 | $0.05698 |
| Opus 5 | $0.00014 | $0.02849 |
| Sonnet 5 | $0.00005 | $0.01140 |
| Haiku 4.5 | $0.00003 | $0.00570 |
Grade A, and why
behave scanned grade A 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 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.
Runs shell commandslowCapability
Expected in a hook, worth knowing in a rule or an instructions file.
actual = subprocess.run(["xdg-mime", "query", "default", "application/pdf"], The source is not reproduced here
No licence file
A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.
What ships with it
9 files 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.
- references/ambiguous-steps.md 1.7 KB
- references/bctl-devmode.md 2.7 KB
- references/cached-image-gate.md 4.8 KB
- references/flatpak-permissions.md 2.7 KB
- references/mocking-interactive-cli.md 2.4 KB
- references/shared-ssh.md 4.3 KB
- references/smoke-vs-ssh.md 1.1 KB
- references/ujust-noninteractive.md 3.7 KB
- references/unit-test-module-stubs.md 5.5 KB
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 · 499 lines · 27 tokens per session scan A b90ac42b405a
behave is a skill published in the GitHub repository projectbluefin/testsuite (2 stars, last pushed 2d ago), with no licence file. It adds 27 tokens to every session and 5,698 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 1 finding (runs shell commands). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other skills, from other repositories
debugging-failures
Diagnose a failing Ginkgo suite as an agent — always run with --json-report into a predictable temp/gitignored location, read the terminal verdict line, then use jq to extract structured failure details (name, message, file:line, panic value, captured logs). Covers the panicked-vs-failed trap, panic locations pointing…
filtering
Run a subset of a Ginkgo suite — Pending/PIt/XIt, runtime Skip, programmatic Focus/FIt (and ginkgo unfocus), Label with the --label-filter query language and label sets, suite-level labels, SemVerConstraint/--sem-ver-filter, --focus/--skip and --focus-file/--skip-file, the filtering precedence rules, and…
ordering-and-flakes
Control spec ordering and manage flaky specs — Serial, Ordered containers with BeforeAll/AfterAll/ContinueOnFailure, OncePerOrdered, SpecPriority, plus FlakeAttempts/--flake-attempts, MustPassRepeatedly, --repeat, and --until-it-fails. Use when specs must run in a fixed order, you need once-per-group setup, you're…
parallelism
Run Ginkgo suites in parallel — ginkgo -p / --procs, the separate-process (not goroutine) model, SynchronizedBeforeSuite/SynchronizedAfterSuite vs BeforeSuite, GinkgoParallelProcess() for sharding ports/tmpdirs/databases, building a binary once via gexec, and piping child-process output to GinkgoWriter. Use when…
reporting
Generate, consume, and enrich Ginkgo reports — console verbosity (-v/-vv/--trace/--no-color/--succinct), machine-readable reports (--json-report/--junit-report with --output-dir/--keep-separate-reports), programmatic reporting nodes (ReportAfterEach, ReportAfterSuite, CurrentSpecReport), AddReportEntry with…
running
Run Ginkgo suites with the ginkgo CLI — run, -r, -p, --dry-run, watch, build (precompiled .test binaries), generate, outline, unfocus, labels, version; spec randomization (--randomize-all/--randomize-suites/--seed); running multiple suites (--keep-going/--skip-package/--compilers); previewing (--dry-run…