Routeros Syntax Inspection logo

Routeros Syntax Inspection

Organization
tikoci
routeros-syntax-inspection

Inspecting and validating RouterOS command/script syntax against a live device via /console/inspect (highlight, completion, syntax, child) and :parse IL. Use when: validating RouterOS commands before execution, explaining or linting RouterOS scripts, building syntax-aware tooling (LSP servers, validators, agent explain/check commands), interpreting highlight token streams or :parse intermediate language, discovering enum values or argument schemas, or when the user mentions console/inspect, highlight tokens, parseIL, or RouterOS script validation.

Overview

Publishertikoci
Repositoryrouteros-skills
Skill namerouteros-syntax-inspection
Stars
85
Forks
18
Bundled files
4
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 4 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by tikoci on GitHub. Read the source before you install it.

Installation

Install the Routeros Syntax Inspection AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/tikoci/routeros-skills/tree/main/routeros-syntax-inspection
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/tikoci/routeros-skills.git /tmp/routeros-skills
mkdir -p .claude/skills
cp -r /tmp/routeros-skills/routeros-syntax-inspection .claude/skills/routeros-syntax-inspection
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Routeros Syntax Inspection in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Routeros Syntax Inspection on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Routeros Syntax Inspection is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

RouterOS Syntax Inspection

Overview

RouterOS exposes its own parser over the REST API: /console/inspect classifies every byte of console input (highlight), proposes continuations (completion), returns structured help (syntax), and enumerates the command tree (child); the :parse scripting command returns the intermediate language (IL) the engine actually executes. Together these are the ground truth for "is this valid RouterOS?" — version-exact, package-exact, and even runtime-state-exact, which no static grammar can be.

This skill is a probe-selection and wire-format guide: which surface answers which question, how to read each response, and which claims the responses do and do not support. It is grounded in full-corpus captures (913 scripts × multiple RouterOS versions) published in tikoci/lsp-routeros-ts — the docs/ references there carry the full evidence 1.

"Parse RouterOS" is not one operation. Pick the probe for the question:

QuestionProbeWhat it cannot establish
Which span is a command, argument, variable, comment, live-state marker?request=highlightNested structure; value validity; anything after the first hard error
Is the script structurally valid; what blocks/expressions result?:parseSource ranges; partial IL on error; path/argument split without schema data
What is valid at this cursor position? Enum values?request=completionRequiredness; exhaustiveness of candidate lists; runtime acceptance
What paths, commands, arguments exist on this device?request=child + request=syntaxEnum values (those come from completion); required arguments
Which arguments are required?Execute-error probe (add with no args)Conditional requirements past the first discriminator

Details per surface: references/highlight.md, references/parseil.md, references/command-schema.md, references/validation.md.

For crawling the full command hierarchy (child traversal, schema/RAML/OpenAPI generation), see the routeros-command-tree skill — this skill covers the syntax/validity surfaces of the same /console/inspect endpoint.

Request shape

REST (basic auth, any RouterOS 7.x):

text
POST /rest/console/inspect
{"request": "highlight" | "completion" | "syntax" | "child",
 "input": "<console input>",     // optional
 "path":  "ip,address,add"}      // optional comma-joined menu tokens

Native API — the same four modes as =request= / =path= words:

text
/console/inspect
  =request=child
  =path=ip,address

path takes comma-joined menu tokens, never a slash command. Only the comma form walks the menu: system,license returns that menu's nodes, while system/license and /system/license return nothing on both transports, and a JSON array body ({"path":["system","license"]}) silently returns the root listing — a wrong answer that looks like a successful one. Measured on 7.23.7; the comma form was independently confirmed on 7.23.1 2.

Every successful response is a JSON array of flat all-string objects (REST) or one !re sentence per item (native). highlight, completion and syntax rows carry a type field naming the request type; request=child instead spends type on the row's role (self/child) and reports the node class in node-type. Beyond that, the four response shapes share nothing — treat them as four APIs behind one endpoint.

Version baseline and safety

  • Baseline: RouterOS 7.20.8 — a long-term-channel release, used here as the recommended floor: the parseIL and crash-path behavior below was captured on it 13. REST itself exists since 7.1beta4 (HTTPS-only at first 4); behavior below 7.20.8 is best-effort (7.9.2 was measured but harsher — see references/highlight.md), and RouterOS v6 has no REST API at all.
  • Always set a per-request timeout (a few seconds). Old versions can hang the whole REST server on specific inspect calls; a hung server also makes subsequent unrelated probes appear broken.
  • Known hazards (all measured, see 1 and 3):
HazardVersionsRule
request=syntax/completion at bare path do deadlocks the REST server≤ 7.20.8 (fixed by 7.21.4) 3Skip scripting-keyword paths (where, do, else, rule, command, on-error) on old/unknown versions; it is a conservative skip policy, not a timeless six-path crash rule
request=syntax with input, or command-level syntax, stalls ~60 sobserved on 7.9.2Query syntax by path only; feature-detect command-level lookups with a short timeout
input beyond 32,767 bytes rejectedallRoute oversized input to :parse (no cap) or reject it — never highlight a truncated copy and present it as validating the whole script
Highlight latency cliff near 28 KBobserved 7.23.xPrefer a :parse pre-check for big scripts (no such cliff, no 32 KB cap)
  • Distinguish [], timeout, and transport failure. An empty array is a real answer (nonexistent path); a timeout is not. Conflating them corrupts any cached conclusion.

Reading results — rules that prevent wrong claims

These are the measured behaviors that most often get summarized wrongly:

  1. Offsets and tokens are byte-based. RouterOS strings are single-byte data — the console has no Unicode awareness. Highlight emits exactly one token per input byte, and completion offset counts bytes as received on the wire (UTF-8 over REST, so non-ASCII characters occupy 2+ bytes and desynchronize byte offsets from UTF-16/JS string indexes). ASCII-normalize input first — replacing each char > 127 with one ASCII byte (?) keeps editor character positions aligned to RouterOS byte positions.
  2. One hard error, then silence. Both highlight and :parse stop at the first hard error. Highlight marks exactly one error byte and leaves the rest unclassified (none); :parse returns a message with line/column and no partial IL. Neither gives multi-error diagnostics in one call. Soft markers (obj-*, variable-undefined, syntax-obsolete) do not stop classification.
  3. none means unclassified, not "valid literal." Highlight accepts an obviously bad IP as none. Value validation is a different layer.
  4. obj-inactive / obj-disabled / obj-dynamic are live-state classifications, not grammar errors. A disabled service or dynamic route table is a perfectly valid reference. Diagnostic severity is the consumer's policy decision — do not hard-code these as "invalid syntax."
  5. An undeclared $name is usually not an error. It classifies as variable-parameter (it may be supplied at call time). The "probably a typo" signal is variable-undefined — a bare unresolvable identifier in expression position.
  6. Completion candidates are observed suggestions, not proven-closed enums. Preserve "observed candidates" provenance unless independent evidence proves closure.
  7. Results are stateful. Token classes and candidates depend on the RouterOS version, installed packages, and current object flags. Record version + package manifest with any captured result; a snapshot from one router is only approximately valid for another.

Validating a command via completion

The grounded mechanics of "check before you run" (full detail: references/command-schema.md):

  • Probe with the cursor immediately after the word under test — before =, whitespace, or the next token. Completion verdicts are cursor-local: advancing past an invalid word can hide its sentinel.
  • Sentinel rows (preference:"-20", empty completion, text:"unknown command"/"unknown parameter") classify the word at their offset — and also appear prospectively at the end of valid input, so presence alone is not a verdict. Decision rule (7.21+): sentinel with no completing candidate → unknown name; sentinel plus candidates at the same offset → ambiguous prefix; candidates only → valid partial; a nonexistent path returns [] outright.
  • Feature-detect on old versions: 7.9.2 emits the unknown-command sentinel but returns bare [] for an unknown typed argument.
  • Passing inspect validation is necessary, not sufficient. There is a measured inspect-vs-runtime gap: /console/inspect accepts forms the device rejects at execution (e.g. blackhole=yes on a route, where the runtime wants the bare blackhole flag) 5. Only execution on an appropriate target proves runtime acceptance.

Minimum pipeline for a syntax "explain"

  1. Segment input statically (find command boundaries; preserve offsets).
  2. highlight the ASCII-normalized input → lexical spans + first error.
  3. :parse only when structure or an error message is needed → nested IL or line/column message. Align its error with highlight's error byte.
  4. child/syntax/completion (or a same-version schema snapshot) → split IL's fused path/argument forms, enumerate arguments, fetch enums.
  5. Enrich with docs/changelog prose — but the live device wins for what its inspect surface exposes; only execution proves runtime acceptance.

Steps 1–2 suffice for a lightweight explain; block/scope analysis needs 3; rich command help needs 4–5. Execution probes (required-args discovery, /rest/execute) mutate state — run them only on explicit request against an appropriate target.

Whatever the depth, keep provenance with every derived fact: source probe, RouterOS version + packages, path context, whether the claim is a direct response or derived, normalization applied, truncation, and outcome (ok / empty / timeout / transport-error).

References

Footnotes

  1. Full format references with capture artifacts: highlight-format.md, parseil-format.md, inspect-shapes.md in tikoci/lsp-routeros-ts — 913-script corpus swept on 7.9.2/7.23.2/7.24rc2 (highlight, inspect shapes) and 7.20.8/7.22.1/7.23rc1 (parseIL). ↩ ↩2 ↩3

  2. tikoci/centrs commands/api/AGENTS.md — CHR 7.23.1 grounding spikes for the comma path form and for /execute as-string on both transports. ↩

  3. MikroTik support case SUP-127641; per-version probe data in tikoci/restraml (deep-inspect.ts CRASH_PATHS notes and docs/<version>/deep-inspect.json crashPathsCrashed): bare do hangs syntax/completion on 7.20.8 at both 128 MB and 512 MB RAM; all six paths return instantly on 7.21.4+. ↩ ↩2 ↩3

  4. MikroTik REST API introduction in 7.1beta4: https://help.mikrotik.com/docs/spaces/ROS/pages/47579162/REST+API. ↩

  5. tikoci/bench-routeros-tools REPORT.md — the blackhole=yes inspect-vs-runtime case. ↩

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Routeros Syntax Inspection AI skill do?

Inspecting and validating RouterOS command/script syntax against a live device via /console/inspect (highlight, completion, syntax, child) and :parse IL. Use when: validating RouterOS commands before execution, explaining or linting RouterOS scripts, building syntax-aware tooling (LSP servers, validators, agent explain/check commands), interpreting highlight token streams or :parse intermediate language, discovering enum values or argument schemas, or when the user mentions console/inspect, highlight tokens, parseIL, or RouterOS script validation.

Why use Routeros Syntax Inspection on TypingMind?

Because you install it once and use it with any model. Routeros Syntax Inspection is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Routeros Syntax Inspection in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/tikoci/routeros-skills/tree/main/routeros-syntax-inspection. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Routeros Syntax Inspection?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Routeros Syntax Inspection?

As many as you like. As long as a model supports skills, you can use Routeros Syntax Inspection with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Routeros Syntax Inspection AI skill free?

Yes. It is published on GitHub by tikoci under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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