DF azure-openai-to-responses
(no description)
Активирајте ову вештину када корисник жели да: python
As a process F 28/100 · No process to follow — References files that are not bundled: ../../../../../.agents/skills/azure-openai-to-responses/scripts/detect_legacy.py
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 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.
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
- Add a description to the frontmatter: without it the skill never triggers.
- 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 · 3
✓ No critical or high findings
Medium and low: 3
-
medium Obfuscation
uni-mixed-script-wordreferences/cheat-sheet.md:374Word mixing Latin and Cyrillic letters (homoglyph obfuscation) (3 occurrences)> **Напомена**: `output_text` је погодна особина на Python SDK објекту `Response`. Сирови REST JSON одговор нема пољe `output_text` на врху — текст је у `output…
-
medium Obfuscation
uni-mixed-script-wordreferences/troubleshooting.md:38Word mixing Latin and Cyrillic letters (homoglyph obfuscation) (2 occurrences)| `max_completion_tokens` није препознат | Kористи се Azure-специфичан параметар | Заменити `max_completion_tokens` са `max_output_tokens`. Поставити 4096+ за o…
-
medium Obfuscation
uni-mixed-script-wordSKILL.md:89Word mixing Latin and Cyrillic letters (homoglyph obfuscation) (4 occurrences)- **`max_completion_tokens` → `max_output_tokens`**: Апликације које користе Azure-специфични `max_completion_tokens` морају прелазити на `max_output_tokens`. П…
Files scanned: 4. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- error
description-missingSKILL.md: no `description` — the skill can never trigger - warning
body-longSKILL.md body ≈ 7597 tokens (recommended < 5000); move details to references/ - warning
missing-refreference to a missing file: ../../../../../.agents/skills/azure-openai-to-responses/scripts/detect_legacy.py - note
edit-residuethe text marks something as outdated (lines 171, 233, 236, 395, 414): check that old rules are not kept next to new ones — the full check reads the text for contradictions
Process rating: all ten parameters 28/100
- 0Tools and files. 1 referenced file(s) missing: ../../../../../.agents/skills/azure-openai-to-responses/scripts/detect_legacy.py
- 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
- 0Failures and branches. Linear process with no failure handling
- 0Progress reporting. Says nothing while it works
- 30Running it twice. 15 mutating operations with no state check
- 70Execution cost. Instruction body is 7597 tokens
- 100Steps. 92 steps
- 100Consistency. Name and required fields are in place
- low 13 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 0: 120–800 characters recommended
- +3Output format is not stated: the model decides each time
- +4Structure: 36 headings
- +3Step-by-step instructions: 92 items
- +4Has examples (5 code blocks)
- +4Reference files are cited in the instructions (3 of 3)
- +1License stated
- +2Bilingual instructions (RU + EN)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 27.