Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add skills/knowledgexlab/skill-git/conflict-patternsnpx skills add KnowledgeXLab/skill-git --skill conflict-patternsgit clone --depth 1 https://github.com/KnowledgeXLab/skill-gitWhat it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00044 | $0.01848 |
| Opus 5 | $0.00022 | $0.00924 |
| Sonnet 5 | $0.00009 | $0.00370 |
| Haiku 4.5 | $0.00004 | $0.00185 |
Grade B, and why
Conflict Patterns scanned grade B with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Instruction-override phrasingmediumPrompt injection
Text telling the model to disregard its earlier instructions or safety rules is the shape of a prompt injection, whoever wrote it.
- **Prompt injection**: Rule contains phrases like "ignore previous instructions", "disregard all rules", "from now on you are", "forget everything" Downgraded: this mod is about security review, or the phrase is quoted, so it is likely naming the pattern rather than instructing it.
How it starts
The opening of the file, as written. The whole thing — 211 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Conflict Patterns
This skill teaches you how to detect rule conflicts between two rule lists produced by the Rule Extraction skill.
Types of Conflicts
1. Direct Contradiction
Two rules that explicitly state opposite behaviors.
Patterns to detect:
always Xvsnever Xdo Xvsdo not X/avoid Xuse Xvsdo not use Xmust Xvsmust not X始终 Xvs禁止 X必须 Xvs不允许 X
Examples:
❌ "Always add docstrings to every function"
vs "Do not add docstrings — keep code self-documenting"
❌ "Use double quotes for strings"
vs "Use single quotes for strings"
❌ "Write commit messages in Chinese"
vs "Write commit messages in English"
2. Semantic Contradiction
Two rules that don't use opposite words but prescribe incompatible behaviors.
Examples:
❌ "Keep functions under 20 lines"
vs "Always include full error handling, logging, and retry logic in every function"
(the second makes the first impossible to satisfy)
❌ "Optimize for readability, use verbose variable names"
vs "Minimize code length, prefer concise expressions"
❌ "Add a comment above every line of code"
vs "Comments should only appear when logic is non-obvious"
Detection approach: Ask whether it is possible to satisfy both rules simultaneously in a realistic scenario. If not, it is a semantic contradiction.
3. Scope Overlap (Non-Conflicting, Worth Noting)
Two rules that cover the same topic but are compatible — one is more specific than the other.
Examples:
⚠️ "Use camelCase for all identifiers"
and "Use PascalCase for class names"
(PascalCase rule is a valid specialization of the camelCase rule — not a conflict)
⚠️ "Write tests for all code"
and "Write unit tests for utility functions"
(second is a subset — no conflict)
These are not conflicts — label them as overlap only, not conflict.
Non-Conflicts to Ignore
The following patterns look like conflicts but are not. Do not flag these.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 2d ago First seen · 211 lines · 44 tokens per session scan B b15c915c8961
Conflict Patterns is a skill published in the GitHub repository KnowledgeXLab/skill-git (41 stars, last pushed 4mo ago), licensed MIT. It adds 44 tokens to every session and 1,848 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it B with 1 finding (instruction-override phrasing). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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