SKILLEMALL.ai

DD deploying-scalable-agents

(no description)

Not recommendedcritical or high security findings · low grade D
microsoft/ai-agents-for-beginners Agent Skills author: microsoft MIT 1 file body ≈ 1 528 tokens Open the sourcegithub.com↗ analyzed 6 d ago

లెర్నర్ ఈ క్రింద ఉన్నప్పుడు ఈ నైపుణ్యాన్ని సక్రియం చేయండి: ప్రొడక్షన్ ఏజెంట్ ప్రధానంగా మోడల్ చుట్టూ ఉన్న సాంకేతిక రేకలు (~80%),

As a process D 35/100 · Unfinished process — References files that are not bundled: ../../../16-deploying-scalable-agents/README.md, ../../../16-deploying-scalable-agents/code_samples/16-python-agent-framework.ipynb, ../../../../../.github/workflows/smoke-test.yml

ProcedureGitHubAzureInfrastructureAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
D
58/100
safety, quality, tests
Safety 60%
82
Quality 40%
21
Run on models
none yet
Process rating
D
35/100
Unfinished process
References files that are not bundled: ../../../16-deploying-scalable-agents/README.md, ../../../16-deploying-scalable-agents/code_samples/16-python-agent-framework.ipynb, ../../../../../.github/workflows/smoke-test.yml
Tools and files w 18
0
Result and completion w 14
0
When it triggers w 12
0
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.

Obfuscation
If you install

The files contain invisible characters, encoded commands or comments hidden from readers but visible to the model. What you read differs from what the agent sees.

For the author

Remove invisible characters (they usually sneak in through copy-paste) and encoded strings: no catalog will pass them. Instructions for the model must be readable by a human too.

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. Add a description to the frontmatter: without it the skill never triggers.
  3. 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 Obfuscation uni-zero-width SKILL.md:5
    Zero-width / invisible characters (possible hidden text) (49 occurrences)
    # Microsoft Foundryతో స్కేలబుల్ ఏయ్జెంట్స్␀ను పంపిణీ చేయడం

Files scanned: 1. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • error description-missing SKILL.md: no `description` — the skill can never trigger
  • warning missing-ref reference to a missing file: ../../../16-deploying-scalable-agents/README.md
  • warning missing-ref reference to a missing file: ../../../16-deploying-scalable-agents/code_samples/16-python-agent-framework.ipynb
  • warning missing-ref reference to a missing file: ../../../../../.github/workflows/smoke-test.yml
  • warning missing-ref reference to a missing file: ../../../tests/README.md

Process rating: all ten parameters 35/100

Will not run. References files that are not bundled: ../../../16-deploying-scalable-agents/README.md, ../../../16-deploying-scalable-agents/code_samples/16-python-agent-framework.ipynb, ../../../../../.github/workflows/smoke-test.yml
  • 0Tools and files. 4 referenced file(s) missing: ../../../16-deploying-scalable-agents/README.md, ../../../16-deploying-scalable-agents/code_samples/16-python-agent-framework.ipynb, ../../../../../.github/workflows/smoke-test.yml
  • 0Result and completion. Does not say what the result is
  • 0When it triggers. No condition that starts the skill
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 30Running it twice. 2 mutating operations with no state check
  • 50Failures and branches. 0 branches, has a failure section
  • 100Steps. 23 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1528 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)
  • +3Description length 0: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • +4No input/output examples
  • +2Single-language instructions
  • +4Structure: 10 headings
  • +3Step-by-step instructions: 23 items
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 21.