# Fix list: Mistral Vibe CLI From Anchor Terminal's listing at https://www.anchorterminal.com/tools/mistral-vibe-cli, the October 2026 research run, assessed 18 October 2026. Grade B, 62.9 out of 100. This is everything the published grade says the listing lacks, the biggest possible gain to the total first. It comes from the reason given for each score, the checklist each category was scored against (https://www.anchorterminal.com/benchmark/#checklist), the provenance checks, the deductions, what we couldn't check and what the review panel asked for. A fix counts at the next check, once it's public. For a coding agent working on Mistral Vibe CLI: work through the items below in the product, its docs and its public pages. Each category gives the reason for its score, with the points each checklist item earned, and the checklist itself, so the gap is the items that earned less than their points. Change the product, not the wording, and keep a note of what you changed and where it's published. ## 1. Security & auth, 58 out of 100, up to 7.4 more on the total Why it scored 58: Framework reading (telemetry defaults, approvals, guardrails, sandboxing), five lines. Telemetry and crash reporting are on by default with an opt-out, and the source sends tool names, approval decisions, the model and file counts to api.mistral.ai only when a Mistral key is set. Telemetry also turns on GrowthBook experiments, and one of them (`vibe_cli_smart_approve_default`) overrides `default_agent`. Credentials are Mistral keys in an environment variable or a plaintext `~/.vibe/.env`, workspace-scoped with optional expiry per the mistral-api listing, and MCP servers can use OAuth (12 of 30). Five agents with a read-only plan agent and bash allow and deny lists, a prompt for access outside the working directory, and `pre_tool` hooks that can deny calls. The default auto-approves file edits, and there's no sandbox on the host. Isolation needs the experimental `--agent-socket` server or the caller's own container (11 of 20). Project config, hooks and MCP servers load only from trusted folders, and `-p` needs `--trust` to load them. The safety page warns that smart-approve isn't a sandbox. No network egress control on the host, and MAI-2026-003 says injected instructions could trigger the bypassed commands (8 of 15). OpenTelemetry tracing is opt-in, with default, strict and no redaction, and each run can write a session journal and an export with the effective config. Managed admin config exists, and audit logs come with the Enterprise plan (13). SECURITY.md asks for private reports, security.txt is valid (expires 5 May 2027) and links a HackerOne programme, and Mistral publishes dated advisories with CVEs. The trust centre's documents need a request per the mistral-api listing, and no bounty terms were read (14 of 20). 12+11+8+13+14 = 58. The checklist (https://www.anchorterminal.com/benchmark/#checklist-security): - 0 to 30, the credential model. 30 for OAuth 2.1 with scopes, or scoped and revocable keys with rotation. 20 for plain revocable API keys. 10 for one all-powerful key. 10 off when a secret can travel in a URL query string as a documented option. - 0 to 20, read-only or least-privilege modes, and confirmation or approval for destructive actions. - 0 to 15, prompt-injection posture where the tool returns untrusted content (documented mitigations or guidance). A tool that returns no untrusted content gets 10. - 0 to 15, audit logs or per-call visibility for the operator. - 0 to 20, a security programme. security.txt or a disclosure policy, a bug bounty, SOC 2 or ISO 27001, advisories handled in public. Models are read for retention, whether API data trains models (and whether that's off by default), zero-retention options and certifications. Frameworks for telemetry defaults, approval hooks, guardrails and sandboxing. ## 2. Reliability, 69 out of 100, up to 6.2 more on the total Why it scored 69: Local-package reading. PyPI, uv, pip, Homebrew at 2.26.1 and an install script, with Python 3.12 or later stated and UNIX the supported target (20). A public CI workflow on main runs pre-commit, the test suite (635 test files) and a build and install smoke matrix, but GitHub's pages and API were refused in this session, so whether main is passing is unchecked (15 of 25). On 18 October GitHub's badges showed 219 open issues against 364 closed (our GitHub record), and every release has a Fixed section, 82 in all. How many open issues are crashes or regressions, and how fast they're answered, couldn't be read (10 of 25). The changelog states Keep a Changelog and semver and marks breaking changes, but the hooks rename shipped in minor 2.21.0, patch 2.11.1 changed the `-p` approval default, and patch 2.26.1 removed the bundled local model (9). 2.26.1, classified Production/Stable (15). 20+15+10+9+15 = 69. The checklist (https://www.anchorterminal.com/benchmark/#checklist-reliability): Hosted APIs, MCP servers, models and platforms. - 20, a public status page with component history (Statuspage, Instatus, BetterStack or the vendor's own). - 0 to 30, the incident record for the last 90 days on that page. 30 for a clean record or trivial incidents only, 20 for minor incidents only, 10 for one major outage (an hour or more of a core API down, or errors across the board), 0 for several. 5 when there's no history we could read, and the note says so. - 15, rate limits documented with numbers. - 15, documented 429 or overload handling (Retry-After, backoff guidance), and idempotency keys or safe-retry guidance where writes are involved. - 10, an SLA published for any paid tier. - 10, the surface agents use is generally available, not beta or preview. Local packages, SDKs, frameworks and stdio MCP servers. - 20, installs from an official package with supported runtimes stated. - 25, a public CI and test suite, passing on the default branch. - 0 to 25, open crash or regression issues relative to activity (25 for few and handled, 0 for many, old and unanswered). - 15, semver discipline and breaking changes called out in a changelog. - 15, version 1.0 or later, or declared stable. Protocols are read from their reference implementations, the public facilitators or servers, spec stability and test vectors. ## 3. Payments & pricing, 60 out of 100, up to 5 more on the total Why it scored 60: Harness reading of the published rubric, as for openai-codex and qwen-code. No payment protocol (0). Plan prices (Pro $14.99 a month, Team $24.99 a user a month) and per-token API prices for the default model ($1.5 and $7.5 per million) are public without a login (20). A Free plan includes limited coding sessions, and the docs document a fully offline set-up with a local model and no Mistral account. Whether the Free plan asks for a card wasn't checked (20). An agent can install the CLI and run it against a local OpenAI-compatible server with no sign-up, since a llama.cpp provider on 127.0.0.1:8080 is in the defaults (20). 0+20+20+20 = 60. The checklist (https://www.anchorterminal.com/benchmark/#checklist-payments): The published rubric, also on the [x402 page](https://www.anchorterminal.com/x402/). - 40, a machine payment protocol (x402, MPP or L402) on the tool's own endpoints. 10 to 30 when it covers only some endpoints or only goes through a third party, and the note says which. - 20, per-call or per-unit pricing published without a login. 10 for public plan-only pricing, 0 for "contact sales" or prices behind a login. - 20, a free tier or trial that doesn't need a card. - 20, autonomous onboarding, meaning an agent can get access without a person signing up in a browser (keyless use, x402, a programmatic key API). Payment platforms and agent wallets rarely charge for their own API over a machine protocol, so the first line has steps for them, and the highest one that applies counts. 40 when x402, MPP or L402 runs on all their own endpoints, 30 when it runs on part of their own API, 25 when their merchants can accept one, 20 for running a facilitator, 15 for paying as a buyer, and 0 when the only protocol is their own. Merchant acceptance sits above a facilitator because the platform's own customers can charge agents through it, while a facilitator settles for sellers who wire up the protocol themselves. The counter-argument (a facilitator does more for the protocol as a whole) has a point. Each note says which step applied. Open-source software you run yourself is scored on its hosted or paid option if it has one. A free, self-hosted package with nothing to buy gets 20, 20 and 20 for the last three lines, and 0 to 40 for the first only if it ships a payment protocol. ## 4. Schema & documentation, 76 out of 100, up to 3.9 more on the total Why it scored 76: Framework reading. A configuration reference with each key's type and default, the `export.json` fields, and the `--agent-socket` JSON-RPC methods with typed params and results in the README, plus ACP. No published schema file for the config or the streaming events was found (16 of 25). docs.mistral.ai/llms.txt indexes the CLI pages, each with a Markdown twin (10). The safety page says what each agent allows and when to use it, but it says `-p` falls back to `auto-approve` where the README and source say `accept-edits`, the offline guide and the configuration reference name `enable_auto_update`, which the source doesn't define (it reads `enable_update_checks`), and the API keys and offline pages carry unresolved TODO notes for developers (10 of 20). Output formats, agent names, permission values and OpenTelemetry redaction modes are enums, and the config is validated on load (12). Many examples and an exit-code table that maps each code to the outcome names in `export.json` (13). Dated changelog and version tags (15). 16+10+10+12+13+15 = 76. The checklist (https://www.anchorterminal.com/benchmark/#checklist-schema): APIs and MCP servers. - 25, a machine-readable contract (a public OpenAPI file or similar; for MCP, typed JSON Schema inputs on every tool). - 10, llms.txt or Markdown docs served for agents. - 0 to 20, descriptions that say what a tool is for, when to use it and when not to, read from the tool definitions in the source or the API reference. - 0 to 15, typed inputs with enums, constraints and required fields, and no free-form JSON blobs. - 0 to 15, examples and documented error responses. - 15, versioning and a public changelog. Models are read from the API reference, the OpenAPI file, llms.txt, the structured-output and tool-use docs and the model cards. Frameworks from docs a model can follow, typed interfaces, examples and the API reference. ## 5. Agent ergonomics, 84 out of 100, up to 2.6 more on the total Why it scored 84: Framework reading, adapted to a harness driven by a pipeline. `--enabled-tools` and `--disabled-tools` with globs and regex (in `-p` the first disables everything else), per-tool and per-MCP-tool permissions, and switches for subagents and background processes (20 of 25). `--max-turns`, `--max-tokens`, `--max-price` and `--time-limit`, with text, json and streaming output and an export file with usage and cost (20). Exit codes 0 to 4 with named outcomes, refusals reported with a code, and config problems listed under `warnings` (18). `--resume SESSION_ID` and `--continue`, SIGTERM stops a run so it can be resumed, and model API failures are retried before exit 2 (16). One required input (the prompt), a GitHub Action and the ACP server, but no SDK, and the app-server's JSON-RPC protocol isn't documented for outside use (10). 20+20+18+16+10 = 84. The checklist (https://www.anchorterminal.com/benchmark/#checklist-ergonomics): - 0 to 25, context cost. For MCP, the number and size of the tool definitions (25 for ten or fewer compact tools, 15 for 11 to 30, 5 for more than 30, plus up to 10 back for toolsets, dynamic loading or read-only subsets). For APIs, whether responses can be sized (field selection, limits, summaries). - 20, pagination, filtering and output-size controls. - 20, actionable, documented error responses, codes and messages an agent can recover from. - 20, idempotency or safe retries, and for MCP the `readOnlyHint` and `destructiveHint` annotations. - 15, sensible defaults, few required parameters, and official SDKs in at least two languages. Models are read for tool use, structured output, prompt caching, context length, batch and SDKs. Frameworks for how much code and how many defaults a tool-calling agent with MCP needs. ## 6. Maintenance & community, 75 out of 100, up to 2.2 more on the total Why it scored 75: 2.26.1 on 9 October 2026 (30). 20 releases on PyPI in the 90 days to 18 October, and 22 in the changelog (20). On 18 October GitHub's badges showed 219 open and 364 closed issues, and 200 open and 276 closed pull requests (our GitHub record), with 23 commits and 21 tags in 90 days. Response times couldn't be read. CONTRIBUTING.md says the project isn't accepting contributions and that reviews may be slower, and the history is squashed release commits. Credit is for the closed counts, the dated changelog, the issue templates and the public advisory (10 of 25). No SDK. `vibe-acp` is current in the ACP registry at 2.26.1 and the Homebrew formula is at 2.26.1 (8 of 15). Dependencies are pinned to exact versions, workflow actions are pinned by commit, and CI runs on main, but no Dependabot or Renovate config was found (7 of 10). 30+20+10+8+7 = 75. The checklist (https://www.anchorterminal.com/benchmark/#checklist-maintenance): - 0 to 30, time since the last release, or the last published model or API change for a closed service. 30 within 30 days, 20 within 90, 10 within 180, 0 older. - 20, at least three releases or dated changelog entries in the last 90 days. - 0 to 25, responsiveness. Issues and pull requests answered on GitHub (the open issues and how recent the replies are). For closed services, a public changelog and a support or community channel that answers, 0 to 15. - 15, presence in the official MCP registry under a verified namespace (MCP servers), or current official SDKs (APIs and models). - 10, package health, current dependencies and CI. Models are read for deprecation notice periods and model churn rather than release counts. ## 7. Transparency & trust, 79 out of 100, up to 1.8 more on the total Made of editorial 68, provenance 90. Why it scored 79: Apache-2.0, with LICENSE and pyproject in agreement (30). The README sends readers to Mistral's privacy policy (effective 3 September 2026), which names Vibe. The commercial terms (effective 25 September 2026) say no training on customer data unless a product's default or an opt-in allows it, and the pricing page lists model training as opt-out on Free, Pro and Team. The configuration reference calls telemetry anonymous without listing its fields. The offline guide says the CLI contacts no Mistral service with telemetry and `enable_auto_update` off, but that key isn't in the source, so update checks stay on (14 of 30). Removals are listed in the changelog, custom tools are marked for deprecation with no date, the agent socket may change without notice, and the bundled local model was removed in a patch release with a fallback warning (10 of 20). Telemetry is disclosed with an opt-out in the README and the configuration reference, and the README names the server-managed shell-tool rollout, but its fields are only in the source (14 of 20). 30+14+10+14 = 68. The checklist (https://www.anchorterminal.com/benchmark/#checklist-transparency): - 0 to 30, source availability and licence clarity. 30 for open source under an OSI licence, 15 for closed with clear terms, 0 for unclear terms. - 0 to 30, data handling and retention statements that agree with each other (privacy policy, DPA, retention periods, subprocessors). - 0 to 20, a deprecation policy or notices with dates. - 0 to 20, telemetry disclosed with an opt-out (local software), or subprocessors and data locations disclosed (hosted). The other half of Transparency and trust is the provenance score, computed from checked facts (below). The category score is the mean of the two. Provenance checks not met in full (half of this category, computed from checked facts): - Domain age: mistral.ai, registered 2019-05-15 (7 years) (11 of 15) - Terms of service: read, states 6 of the 7 things a reader expects, and has 2 clauses that cost points (5.1 of 10) ## Deductions Each comes off the total. A fixed and documented problem counts for less at the next check. - 2026-09-12. CVE-2026-87983 to CVE-2026-87988 (advisory MAI-2026-003, severity High, published 14 September 2026). Crafted shell commands could run without the approval prompt, reading or writing files outside the workspace or running code, and injected instructions could trigger them. HiddenLayer published the CVEs on 11 September and Mistral released 2.25.4 the next day. Fixed and published inside six months, so 2 points for each high, as nanobot's and zeroclaw's fixed advisories were weighed. Six highs come to 12, held at the -6 cap for fixed and published advisories that claude-code and the Claude Agent SDK listing use (research/new/NOTES-harnesses-H1.md, negative events). Paperclip's -10 adds -5 for its group of ten fixed advisories and separate lines for advisories with no patched version, which doesn't apply here (https://docs.mistral.ai/resources/security-advisories/MAI-2026-003). -6 - 2026-10-18. The offline guide says that with `enable_telemetry = false` and `enable_auto_update = false` the CLI contacts no external service, and the configuration reference describes `enable_auto_update` as installing releases in the background. The 2.26.1 source has no such key. It reads `enable_update_checks`, which stays on, and the README says interactive sessions then query PyPI or uv once a day. We followed ironclaw's precedent, not zeroclaw's, because this is the vendor's documentation contradicting the shipped release on what leaves the machine, where zeroclaw's was a site-versus-docs mismatch. The safety page's line that `-p` falls back to `auto-approve` is also wrong, but it errs towards caution, so it stays a weakness with no deduction. A misleading claim, at the minimum, -2 (https://docs.mistral.ai/vibe/code/cli/offline-models; https://docs.mistral.ai/vibe/code/cli/configuration-reference; https://github.com/mistralai/mistral-vibe#update-settings). -2 ## What we couldn't check What we couldn't read counted as absent. Publishing it on a page a plain HTTP fetch can read (not only in a browser) lets the next check count it. - unchecked: CI run results on main and maintainers' response times on issues and pull requests. Stars (5.1k, rounded by the badge) and issue and pull request counts come from shields.io badges in our GitHub record, with no issue text read - unchecked: the PyPI project page answered with a client challenge on 18 October 2026, so the full release history there wasn't read. firstReleased is 1.0.0 on 9 December 2025 from CHANGELOG.md - unchecked: whether the Mistral Free plan asks for a card at sign-up - OSV, the public mirror of the GitHub Advisory Database, lists no advisories for mistral-vibe on 18 October 2026, so CVE-2026-87983 to CVE-2026-87988 are graded from Mistral's own advisory MAI-2026-003 - unchecked: the HackerOne programme's scope and bounty terms, which render only with JavaScript - The safety page says `-p` falls back to `auto-approve` without `--agent`, while the README, the changelog for 2.11.1 and the source say `accept-edits`. We didn't run it to confirm - The source has a `vibe_cli_smart_approve_default` experiment that overrides `default_agent`. Whether it's live for any users wasn't established - The scout was right on the licence, 2.26.1 on 9 October, `vibe -p`, `vibe-acp`, `--agent-socket` and the Rust TUI. The pricing page still calls the CLI powered by Devstral, while the default model in the source is Mistral Medium 3.5 ## Weaknesses - The default agent auto-approves file edits, and there's no sandbox on the host. Isolation needs the experimental `--agent-socket` server or a container - Six high-severity shell-permission bypasses (CVE-2026-87983 to CVE-2026-87988) were fixed in 2.25.4 on 12 September 2026, a day after HiddenLayer published them - Telemetry is on by default, and the server-side experiments it enables can switch the default agent to the `smart-approve` classifier - The docs disagree with the code. The safety page says `-p` falls back to auto-approve, and the offline guide names an `enable_auto_update` key the source doesn't define - The repository takes no outside contributions, and its history is squashed release commits ## What costs an agent a turn today The notes we give agents before they call it. Each one is a workaround an agent shouldn't need. - Pass `--agent` on every `-p` run (`plan` is read-only). The source default is `accept-edits`, the safety docs say auto-approve, and an experiment can switch it to `smart-approve` - Add `--max-turns`, `--max-tokens`, `--max-price` and `--time-limit`, and read `outcome` in the `export.json` that `--output-dir` writes. Exit 3 means a limit or a refusal - Run in a container or behind `--agent-socket` before using `--auto-approve`. Vibe has no sandbox of its own on the host - For offline runs set `enable_telemetry = false` and `enable_update_checks = false` in `config.toml`. The docs' `enable_auto_update` isn't the key the code reads - Use 2.25.4 or later, which fixes six shell-permission bypasses, and check with `vibe --version` ## What the review panel asked for - breaking changes in majors - correct the update-check key - align docs with the source - streaming event schema - documented retry policy - host sandbox for shell - keep experiments off approvals ## When it's done Send what changed and where it's published as a dispute (https://www.anchorterminal.com/builders/#disputes, or `POST https://www.anchorterminal.com/api/v1/contact` with `"kind": "dispute"`). Disputes are answered in public, and the listing is checked again by the same checklist. Paying for an audit or a listing claim changes nothing here.