cliare
Measure your CLI binary as a black box and emit evidence-backed shape files for agent harnesses.
CLIARE fills a specific niche for agent-CLI compatibility with a rigorous evidence-based approach. Its open-source nature and focus on runtime measurement make it valuable for maintainers serious about agent-readiness, though it requires comfort with the command line and Rust ecosystem. For agent-readiness, it's a strong complement to tools like shell-gpt or prompt-toolkit, but it doesn't provide a GUI or cloud dashboard.
- Maintainers of CLI tools who want to improve agent compatibility
- Developers building agent harnesses that need reliable command shapes
- Security reviewers assessing CLI behavior and side effects
- Teams running CI pipelines to prevent agent-readiness regressions
- Non-technical users looking for a GUI tool
- Projects that do not distribute CLIs (e.g., libraries only)
- Teams needing real-time monitoring or cloud dashboards
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Skip CLIARE if you don't distribute a CLI or if you need a graphical dashboard, real-time monitoring, or automated remediation of agent-readiness issues.
Time investment: learning Rust/Cargo and integrating the tool into your CI pipeline may take a day or two for first setup.
Free and open-source (Apache 2.0) – ideal for indie maintainers and small teams who can invest in setup and CI integration. No paid tiers exist, so there's no cheap/expensive comparison, but it competes with zero-cost ad-hoc methods that lack rigor.
In short
cliare — Measure your CLI binary as a black box and emit evidence-backed shape files for agent harnesses. Best for Maintainers of CLI tools who want to improve agent compatibility, Developers building agent harnesses that need reliable command shapes, Security reviewers assessing CLI behavior and side effects. Free to use.
Viability Score
How likely is cliare to still be operational in 12 months? Based on 4 signals — momentum (how recently it shipped), wrapper dependency, revenue model, and web presence.
Last calculated: July 2026
How we score →Key Features
- Black-box CLI measurement without source access
- Safe probing with bounded traversal budget
- Runtime evidence capture: exit status, stdout/stderr, timing, side-effect deltas
- Command shape inference: rows, flags, operands, output contracts
- Emit command-index.json, shape.json, scorecards, issue ledgers
- Agent guidance generation for harnesses
- CI scorecards for agent-readiness
- Surfaces drift between docs, help text, and binary behavior
- Open-source and installable via release script or Cargo
- Supports multiple measurement profiles (e.g., standard)
- Evidence.jsonl proof log for tracing each claim to command output
- Condition-dictionary.csv for plain-English label definitions
- AGENT_SKILL.md generated guidance for agent workflows
- Versioned artifacts that can ship beside each release
- No dependencies beyond Rust runtime for building from source
About cliare
CLIARE is an open-source Rust CLI that probes a released command-line binary as a black box, capturing runtime evidence such as exit status, stdout, stderr, timing, and side-effect deltas. It infers command structure, flags, operands, output contracts, and preconditions, then emits durable artifacts like command-index.json, shape.json, scorecards, and agent guidance. This helps maintainers identify where agents lack evidence—due to missing help, unclear grammar, or unsafe discovery behavior—and turns agent-readiness into an implementation queue. For agent harnesses, CLIARE provides versioned artifacts that eliminate trial-and-error discovery. CLIARE supports multiple measurement profiles (e.g., standard) and is installable via a release script or Cargo. Unlike tools that trust framework internals or stale docs, CLIARE surfaces drift between docs, help text, and binary behavior. It is designed for maintainers of CLI tools, agent harness developers, and CI pipeline gatekeepers. The tool is free and open-source under Apache 2.0.
Behind the Verdict
CLIARE addresses a real pain point for teams building agent-CLI interactions. By measuring the actual binary rather than trusting documentation or source code, it provides a ground-truth view of command surfaces. The output artifacts are well-defined and useful for both maintainer CI gating and harness routing. The tool's open-source licensing and Apache 2.0 license make it safe for commercial use. However, it is a CLI-only tool with no web interface, no API, and no automated remediation—just measurement. Teams expecting a dashboard or integration with specific agent frameworks will need to build that themselves. The tool's community is small (based on GitHub stars), so support is community-driven. For a free tool, the value is high for its target audience, but it's not for non-technical users or projects that don't distribute CLIs.
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Real-world workflow fit
Concrete scenarios for the personas cliare actually fits — and what changes day-one when you adopt it.
You have a CLI with hundreds of commands and subcommands. You want to ensure agent harnesses can reliably invoke commands without guessing flags or output formats.
Outcome: Run 'cliare measure mycli --out .cliare/mycli --profile standard' and then 'cliare summary' to see a scorecard. You identify that several commands lack machine-readable output or have unsafe probes. You ship command-index.json and shape.json with the next release, and set up CI to gate on scorecard regressions.
Your agent needs to interact with multiple third-party CLIs. You want to load shape files for each tool so the agent can route commands without trial-and-error.
Outcome: For each supported CLI, you consume the vendor-provided shape.json and command-index.json. Your agent loads these artifacts at startup, knows the exact command paths, required operands, and output contracts, and can invoke commands with high confidence and minimal probing.
You need to assess whether a CLI performs safe probes (e.g., help/version only writes to stdout) or makes hidden file system changes.
Outcome: Run CLIARE with the standard profile to capture side-effect deltas. The evidence.jsonl log shows which probes wrote to disk. The scorecard includes a safety subscore. You can flag any unexpected writes and request fixes before approving the CLI for internal use.
Use Cases
- Measure a CLI binary to produce a command shape file for agent harness consumption.
- Integrate CLIARE into CI pipelines to gate releases based on agent-readiness scorecards.
- Identify missing help, unclear grammar, or unsafe probes in a CLI to prioritize fixes.
- Ship command-index.json and shape.json alongside each release to enable agent routing.
- Compare different CLI versions to detect drift in command surface and output contracts.
Limitations
- CLIARE is a CLI-only tool with no web interface, API, or automated remediation—it measures and emits artifacts but does not fix issues or integrate with specific agent frameworks.
- Its community is small, and support is community-driven.
- Requires comfort with command line and Rust/Cargo for installation.
- No pricing page found; it is free and open-source, but may lack enterprise support options.
as of 2026-07-06
Where the pricing makes sense
The company stage and team size where cliare's pricing actually pencils out — and where peers do it cheaper.
Free and open-source (Apache 2.0) – ideal for indie maintainers and small teams who can invest in setup and CI integration. No paid tiers exist, so there's no cheap/expensive comparison, but it competes with zero-cost ad-hoc methods that lack rigor.
Setup time & first value
How long it actually takes to get something useful out of cliare — broken out by persona, not the marketing-page minute.
For a maintainer familiar with Rust/Cargo: install via release script (curl) in <1 minute, then run 'cliare measure' on your binary. First meaningful shape file in 5-10 minutes. For integrating CI gate: 1-2 hours to write a GitHub Actions step or equivalent. For harness developers: mounting the shape artifacts takes minutes if already provided.
Switching to or from cliare
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From ad-hoc manual testing: adopt CLIARE to get reproducible, evidence-based shape files instead of relying on 'help --all' and manual parsing.
- ↗To static analysis tools (e.g., docgen): you lose runtime evidence and drift detection but gain faster feedback if docs are always accurate.
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