SKILLEMALL.ai

CC facebook_cli

Use when the user provides a Facebook URL or asks to read personal posts, comments, reactions, friends, timelines, profiles, stories, feeds, groups, events, or saved items, or to discover public events happening near a place, nearby, or in a local area on a date, or to create, edit, publish, or delete their own Marketplace listings. To find, browse, or buy Marketplace listings, use shopping instead. Use pages commands for managed Facebook Page discovery, insights, native draft editing/deletion, same-draft publication, approved posts and native scheduling.

asgeirtj/system_prompts_leaks Agent Skills author: asgeirtj CC0-1.0 16 files body ≈ 5 453 tokens Open the sourcegithub.com↗ analyzed 6 d ago

Use when the user provides a Facebook URL or asks to read personal posts, comments, reactions, friends, timelines, profiles, stories, feeds, groups, events…

As a process C 57/100 · Has gaps — References files that are not bundled: `connect_url`, `disconnect_url`

GeneratorCommerceWriting and documentstype and topics are labelled automatically from the skill text
JSON
Technical rating
C
86/100
safety, quality, tests
Safety 60%
100
Quality 40%
65
Run on models
none yet
Process rating
C
57/100
Has gaps
References files that are not bundled: `connect_url`, `disconnect_url`
Tools and files w 18
0
Inputs and preconditions w 11
0
Consistency w 8
40
the three weakest of ten parameters · all ten

How to improve

  1. The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
  2. 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 · 0

✓ No critical or high findings

Files scanned: 16. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning name-format name should be kebab-case (lowercase letters, digits, hyphens)
  • warning body-long SKILL.md body ≈ 5453 tokens (recommended < 5000); move details to references/
  • warning missing-ref reference to a missing file: `connect_url`
  • warning missing-ref reference to a missing file: `disconnect_url`
  • note frontmatter-key unknown frontmatter key "icon"
  • note frontmatter-key unknown frontmatter key "title"

Process rating: all ten parameters 57/100

Will not run. References files that are not bundled: `connect_url`, `disconnect_url`
  • 0Tools and files. 2 referenced file(s) missing: `connect_url`, `disconnect_url`
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 40Consistency. Frontmatter name (facebook_cli) differs from the folder (facebook-cli)
  • 60Result and completion. Output format stated, no completion criterion
  • 70Execution cost. Instruction body is 5453 tokens
  • 85Steps. 46 steps, 2 vague phrases
  • 100When it triggers. States when to use and when not to
  • 100Failures and branches. 6 branches, has a failure section
  • 100Running it twice. Mutating operations check current state
  • 100Progress reporting. Reports progress
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low The response is described with custom markup (6 tags): a typed call is more reliable

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)
  • +1No license
  • +2Single-language instructions
  • +3Description length 561: enough signal without eating the budget
  • +4Structure: 10 headings
  • +3Step-by-step instructions: 46 items
  • +3Output format is stated explicitly
  • +4Has examples (1 code blocks)
  • +4Reference files are cited in the instructions (13 of 13)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 65.