BF outline-app-mcp
Model Context Protocol (MCP) bridge for Outline (getoutline.com). Enables AI agents to search, read, create, and manage documents, collections, and comments in an Outline workspace via SSE transport. Includes local filesystem access for bulk file/media uploads to Outline.
As a process F 49/100 · Will not run — References files that are not bundled: url
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
- The text references files that are not there: add them or drop the references.
For the model run — optional
- 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 · 5
✓ No critical or high findings
Medium and low: 5
-
low Secrets in code
secret-high-entropy-tokenpackage-lock.json:70High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)"integrity": "sha5…GLi+2W/6ao+6Y7gu/RCwR…Kng==",
detector -
low Secrets in code
secret-high-entropy-tokenpackage-lock.json:249High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)"integrity": "sha5…GLw+xYSd…cqA==",
detector -
low Secrets in code
secret-high-entropy-tokenpackage-lock.json:304High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)"integrity": "sha5…FrF+LTRo…W3g==",
detector -
low Secrets in code
secret-high-entropy-tokenpackage-lock.json:313High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)"integrity": "sha5…A6j+hAmM…GbS+kf5c…csw==",
detector -
low Secrets in code
secret-high-entropy-tokenpackage-lock.json:322High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)"integrity": "sha5…5bm+c2gQ…aG5+esrLODihIorn+Pe6F…dXA==",
detector
Files scanned: 7. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
description-no-whendescription does not say WHEN to use the skill (no "use when") - warning
missing-refreference to a missing file: url
Process rating: all ten parameters 49/100
Will not run. References files that are not bundled: url
- 0Tools and files. 1 referenced file(s) missing: url
- 0Result and completion. Does not say what the result is
- 0Progress reporting. Says nothing while it works
- 30Running it twice. 21 mutating operations with no state check
- 50When it triggers. No condition that starts the skill
- 55Failures and branches. 1 branches
- 70Inputs and preconditions. Inputs and preconditions are listed
- 100Steps. 70 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 2187 tokens
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)
- +3Output format is not stated: the model decides each time
- -31 of 3 scripts are never mentioned in SKILL.md
- +1No license
- +2Single-language instructions
- +3Description length 272: enough signal without eating the budget
- +4Structure: 33 headings
- +3Step-by-step instructions: 70 items
- +4Has examples (7 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 63.
External checks
ClawHub: suspicious
This Outline skill is mostly transparent about its purpose, but it gives agents broad power to read local files, upload them remotely, and make authenticated workspace changes.
LLM: suspicious (high) · VirusTotal: · 29 May 2026