SKILLEMALL.ai

DC meta_ads

Create, write, or manage Meta ads and assets: ad copy, campaigns, spend, reports, audiences, catalogs, product feeds, feed refresh schedules, experiments, and policy. Always load for any request to create or write an ad, or to advertise a product or service, even when no platform is named; this includes sensitive or restricted categories. Always load for any question asking what a Meta, Facebook, or Instagram advertising policy means, allows, prohibits, or requires, including a standalone policy-definition question with no account context. Those questions must use ads_policy_tool, never browser search or memory. Load for a specifically named catalog or feed with an upload or refresh-schedule request; use Ads reads to resolve ownership before writing. Generic unnamed feeds need context. Whether an image, claim or piece of copy may be used in an ad is ALWAYS a Meta Ads task — 'can I use this in an ad', 'is it allowed', 'is this against policy', and any rights, likeness, celebrity, logo or trademark question about advertising with an image, including a follow-up about one just generated. Those are ads-policy questions, not general legal ones. An ad request uses the campaign workflow unless explicitly only an image or organic post.

Not recommendedcritical or high security findings · low grade D
asgeirtj/system_prompts_leaks Agent Skills author: asgeirtj CC0-1.0 22 files body ≈ 6 847 tokens Open the sourcegithub.com↗ analyzed 6 d ago

Create, write, or manage Meta ads and assets: ad copy, campaigns, spend, reports, audiences, catalogs, product feeds, feed refresh schedules, experiments, and…

As a process C 53/100 · Has gaps — References files that are not bundled: <disconnect_url>

GeneratorMarketingtype and topics are labelled automatically from the skill text
JSON
Technical rating
D
64/100
safety, quality, tests
Safety 60%
82
Quality 40%
37
Run on models
none yet
Process rating
C
53/100
Has gaps
References files that are not bundled: <disconnect_url>
Tools and files w 18
0
Result and completion w 14
0
Running it twice w 4
30
the three weakest of ten parameters · all ten

What is at stake

The skill contains fragments that, in the wrong hands, cost money or data. Below: what the installer risks and what the author should do.

Concealment
If you install

The skill tells the agent to hide things from you: not to show errors, not to mention actions, to report differently from what was done. You lose the ability to see what the agent really did.

For the author

Transparency beats a smooth answer. If the goal is to hide technical noise, ask the agent to "summarise briefly", not to "not mention".

How to improve

  1. Address the high-severity findings: each costs 18 safety points. If one is a false positive, add the rule id to guard.allow in spec.yaml.
  2. Shorten the description to 1024 characters.
  3. The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
  4. 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 · 1

  • high Concealment en-hide-from-user references/analysis.md:96
    Instruction to hide actions from the user
    all at low volume; never tell the user their audience is too broad. If you do

Files scanned: 22. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • error description-long description is 1247 chars, limit 1024
  • warning name-format name should be kebab-case (lowercase letters, digits, hyphens)
  • warning body-long SKILL.md body ≈ 6847 tokens (recommended < 5000); move details to references/
  • warning missing-ref reference to a missing file: <disconnect_url>
  • note frontmatter-key unknown frontmatter key "title"
  • note frontmatter-key unknown frontmatter key "icon"
  • note edit-residue the text marks something as outdated (lines 211): 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

Will not run. References files that are not bundled: <disconnect_url>
  • 0Tools and files. 1 referenced file(s) missing: <disconnect_url>
  • 0Result and completion. Does not say what the result is
  • 30Running it twice. 12 mutating operations with no state check
  • 40Consistency. Frontmatter name (meta_ads) differs from the folder (meta-ads)
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 70Execution cost. Instruction body is 6847 tokens
  • 85Steps. 28 steps, 1 vague phrases
  • 100When it triggers. States when to use and when not to
  • 100Failures and branches. 4 branches, has a failure section
  • 100Progress reporting. Reports progress
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low 10 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 1247: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +4Structure: 14 headings
  • +3Step-by-step instructions: 28 items
  • +4Has examples (5 code blocks)
  • +4Reference files are cited in the instructions (18 of 18)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 37.