testing by ellmos-ai
Trampelpfadanalyse — LLM-sichtbare Konventionen empirisch herstellen ellmos-ai/trampelpfadanalyse
Error analysis for pipeline and control-file workflows: check whether a convention or procedure is actually visible and discoverable to an LLM. Empirical baseline → intervention → retest comparison using naive subagents (isolated sandbox copies, identical test case, quantitative success measurement). Use this skill when agents repeatedly ignore a rule/README/convention or navigate incorrectly, and you want to measure whether a documentation change actually changes the behavior. Triggers on "is t
Install linked skill Links this skill to your agents and keeps it current with the author's updates.
Fork editable copy Install locally · CLI or SKILL.md 1 · One-time — install the CLI (
docs ↗ )
$ pip install decimalaiCopy
2 · Get the skill — writes .claude/skills/ellmos-ai-trampelpfadanalyse/SKILL.md
$ decimalai skills pull ellmos-ai-trampelpfadanalyse --out .claude/skills/Copy
Copy link Copy README badge Copy SKILL.md No CLI? Get the same file — curl · raw file $ curl -fsSL --create-dirs -o .claude/skills/ellmos-ai-trampelpfadanalyse/SKILL.md https://app.decimal.ai/s/ellmos-ai-trampelpfadanalyse/SKILL.mdCopy
Code scan Clean Intent Passed Content Clean
Overview Benchmark Contents Activity Versions 12 Ratings 0
Benchmark snapshot Same tasks, with and without this skill.
View full report → Model gemini-3.6-flashMeasured 8/24/2026 v12
Pass-rate lift +22 pp percentage-point change
Pass rate with skill 96% 74% without skill
Tokens +118% vs. without skill
Agent turns 0% vs. without skill Usage All-time distinct users and times used, across every version.
View activity → Read the skill SKILL.md · instructions and conventions
Open contents → Safety and source details
SkillSafety ✓ 3 of 3 passed ✓ Code scan 15 of 15 checks clean
0 critical · 0 warning · 0 info — scanner v5 — 8/24/2026
View 15 scanner checks live_secret remote_code_execution reverse_shell data_exfiltration ssrf_metadata agent_snooping anti_refusal destructive_commands obfuscated_unicode unicode_homoglyph opaque_blob suspicious_url tool_overreach trigger_abuse prompt_injection_phrasing
✓ Intent Safe
LLM judge · does the skill do what it claims
✓ Content Clean
LLM judge · policy & harmful-content review
Source Imported License MITImported 8/24/2026Version v12