Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/nguyenthienthanh/aura-frognpx agentmods add skills/nguyenthienthanh/aura-frog/conflict-detectorWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/nguyenthienthanh/aura-frog/conflict-detector)<a href="https://agentmods.dev/skills/nguyenthienthanh/aura-frog/conflict-detector"><img src="https://agentmods.dev/badge/skills/nguyenthienthanh/aura-frog/conflict-detector/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/nguyenthienthanh/aura-frog/conflict-detector"><img src="https://agentmods.dev/badge/skills/nguyenthienthanh/aura-frog/conflict-detector.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What 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 5.1 | $0.00084 | $0.01572 |
| Opus 5 | $0.00042 | $0.00786 |
| Sonnet 5 | $0.00017 | $0.00314 |
| Haiku 4.5 | $0.00008 | $0.00157 |
Grade A, and why
conflict-detector scanned grade A with 0 findings 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 10d 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.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 122 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AI-consumed reference. Optimized for Claude to read during execution. Human-readable explanation: see docs/architecture/HIERARCHICAL_PLANNING.md or docs/getting-started/ depending on topic.
Conflict Detector
STATUS — v3.7.0-beta.2. L1+L2 functional; L3+L4 stubbed pending LLM-dispatch infrastructure in rc.1.
Five conflict types (per spec §21.1)
types[5]{type,definition,detection_layer,cost}:
C1,File-level overlap,L1,free
C2,Function/region overlap,L2,cheap (~10ms regex)
C3,Schema/contract conflict,L2,cheap
C4,Semantic intent conflict,L3,LLM (stubbed in beta.2)
C5,Architectural conflict,L4,LLM-rare (stubbed in beta.2)
Layer dispatch (per spec §21.3)
ON dispatch_request(task):
L1 = check-l1-files.sh ← always run, free
IF L1.overlap AND L1.confidence >= 0.95:
RETURN conflict(L1)
IF L1.overlap (low confidence):
L2 = check-l2-syntactic.sh ← drill into overlapping files
IF L2.overlap:
RETURN conflict(L2)
IF task.tier <= 2 OR task.creates_new_pattern:
L4 = check-architectural (LLM, stubbed) ← skipped in beta.2
IF L4.contradicts: RETURN conflict(L4)
IF task.parent has any pending-confirm sibling:
L3 = check-semantic (LLM, stubbed) ← skipped in beta.2
IF L3.contradicts: RETURN conflict(L3)
RETURN clear
Disable
Set AF_CONFLICT_LLM_DISABLED=true to short-circuit L3+L4 dispatch even after they land in rc.1+ — useful for cost-sensitive sessions. L1+L2 (deterministic bash) always run; the env var only affects the LLM-backed layers. In v3.7.0-beta.2 / rc.1 it is effectively a no-op because L3+L4 are already stubbed; documented for forward compatibility with v3.7.x patch releases.
Behavior
- Resolve proposed task's
artifacts[].pathfrom its plan node frontmatter - Resolve pending-confirm siblings (status: planned with parent T3 active, or status: blocked-on-confirm)
- Run
scripts/conflicts/check-l1-files.shwith task + siblings artifact lists - If L1 returns overlap with confidence < 0.95 OR file-overlap is ambiguous → run
check-l2-syntactic.shon the overlapping files - L3 (semantic): in beta.2, return
{layer:L3, status:stubbed_for_rc1}. In rc.1, dispatch an LLM call comparing intents; cache result inconflict_cache.jsonl. - L4 (architectural): in beta.2, return
{layer:L4, status:stubbed_for_rc1}. In rc.1, dispatch an LLM call comparing againstpermanent_memory.mddecisions. - Append finding to
.claude/plans/conflicts.jsonl(per spec §21.4) if conflict found
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.
- 10d ago First seen · 122 lines · 84 tokens per session scan A 97a98fa0a707
conflict-detector is a skill published in the GitHub repository nguyenthienthanh/aura-frog (24 stars, last pushed 6d ago), licensed MIT. It adds 84 tokens to every session and 1,572 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
resume_handoff
Resume work from handoff document with context analysis and validation.
create_handoff
Create handoff document for transferring work to another session.
feature
Deliver a feature or chore end to end, from branch creation to PR readiness, starting from an issue URL or a plain description.
gsd-manager
Interactive command center for managing multiple phases from one terminal.
gsd-new-project
Initialize a new project with deep context gathering and PROJECT.md.
gsd-resume-work
Resume work from previous session with full context restoration.