CF kibana
Kibana API integration with managed authentication. This is a write-capable integration — it can read, create, update, and delete saved objects, dashboards, data views, spaces, alerts, fleet resources, connectors/actions, security roles, and cases in your Kibana instance. All write operations require explicit user approval with specific resource identifiers before execution. Connector execution triggers external side effects (e.g., sending emails, invoking webhooks) — always confirm the connector ID, target, and payload with the user before executing. Use this skill when users want to interact with Kibana for observability, security, and search analytics. For other third party apps, use the api-gateway skill (https://clawhub.ai/byungkyu/api-gateway). Calls run through the `maton` CLI with OAuth login, or over raw HTTP with a Maton API key where the CLI cannot be installed. Every call is authenticated as the user's connection and reaches only what that connection's authorization allows, which the provider enforces on every request; the endpoints documented here are the ones this skill uses, and any other endpoint of this app needs the user to ask for it by name. Default to read and list calls, and confirm every write or new connection with the user. This file also documents the three constructs that turn a Kibana connection into automation, in the order they are used: the connection (the first step), a hosted function that runs a Kibana action through the Maton SDK, and a trigger that calls that function on a schedule or on an event. Those sections are the platform's own reference text, shared with the api-gateway skill, with Kibana examples; they add no Kibana capability - Kibana is not an event source, a trigger cannot read Kibana data, and the files under `references/<source>/triggers.md` are the platform's event catalogues for the sources Maton offers (time, Calendly, GitHub, Gmail, HubSpot, Linear, Notion, Slack, Stripe).
Kibana API integration with managed authentication.
As a process F 53/100 · Will not run — References files that are not bundled: references/<source>/triggers.md, references/{source}/triggers.md
What is at stake
Medium-severity findings: the skill is probably honest, but read what alarmed the scanner.
Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.
The skill asks for more than the task needs: broad tool access, credential environment variables, binaries. Every extra permission widens the damage from a mistake or a compromise.
Narrow allowed-tools and the variable list to the minimum; replace binaries with readable sources or scripts.
How to improve
- Shorten the description to 1024 characters.
- The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
- The text references files that are not there: add them or drop the references.
- Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
- A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.
Guard findings · 11
✓ No critical or high findings
Medium and low: 11
-
medium Broad scope
meta-broad-allowed-toolsSKILL.md:1Broad tool permissions pre-approved: Bashallowed-tools: Bash Read Grep Glob
-
low Secrets in code
secret-high-entropy-tokenreferences/github/triggers.md:1139High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)"node_id": "MDIz…DU3"
quoted -
low Secrets in code
secret-high-entropy-tokenreferences/github/triggers.md:1313High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)"node_id": "MDEw…jY5",
quoted -
low Secrets in code
secret-high-entropy-tokenreferences/stripe/triggers.md:41High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)"balance_transaction": "txn_…GxW",
quoted -
low Secrets in code
secret-high-entropy-tokenreferences/stripe/triggers.md:117High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)"id": "evt_…qVg",
quoted -
low Secrets in code
secret-high-entropy-tokenreferences/stripe/triggers.md:144High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)"subscription": "sub_…qSY"
quoted -
low Secrets in code
secret-high-entropy-tokenreferences/stripe/triggers.md:180High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)"subscription": "sub_…qSY",
quoted -
low Secrets in code
secret-high-entropy-tokenreferences/stripe/triggers.md:194High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)"subscription": "sub_…qSY",
quoted
A further 3 matches are quotations in this security skill's documentation and are not counted as findings.
Files scanned: 11. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- error
description-longdescription is 1960 chars, limit 1024 - warning
body-longSKILL.md body ≈ 13825 tokens (recommended < 5000); move details to references/ - warning
missing-refreference to a missing file: references/<source>/triggers.md - warning
missing-refreference to a missing file: references/{source}/triggers.md - note
description-budgetdescription takes 1960 of the ~15000-char shared budget for all skills - note
edit-residuethe text marks something as outdated (lines 686, 886, 1281): check that old rules are not kept next to new ones — the full check reads the text for contradictions
Process rating: all ten parameters 53/100
- 0Tools and files. 2 referenced file(s) missing: references/<source>/triggers.md, references/{source}/triggers.md
- 0Inputs and preconditions. Does not say what the process needs to start
- 30Running it twice. 103 mutating operations with no state check
- 40Execution cost. Instruction body is 13825 tokens: crowds the task out of the window
- 50When it triggers. No condition that starts the skill
- 60Result and completion. Output format stated, no completion criterion
- 100Steps. 77 steps
- 100Failures and branches. 3 branches, has a failure section
- 100Consistency. Name and required fields are in place
- 100Progress reporting. Reports progress
- medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
- low 14 top-level sections: this looks like several domains in one skill
Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.
Quality signals
- +5Description has no quoted example phrases that should trigger the skill
- +4Description does not say when NOT to use the skill (false activations)
- +3Description length 1959: 120–800 characters recommended
- +1No license
- +2Single-language instructions
- +4Structure: 115 headings
- +3Step-by-step instructions: 77 items
- +3Output format is stated explicitly
- +4Has examples (125 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 37.