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/pilotspace/pilot-space/find-duplicatesnpx skills add pilotspace/pilot-space --skill find-duplicatesgit clone --depth 1 https://github.com/pilotspace/pilot-spaceWrote 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/pilotspace/pilot-space/find-duplicates)<a href="https://agentmods.dev/skills/pilotspace/pilot-space/find-duplicates"><img src="https://agentmods.dev/badge/skills/pilotspace/pilot-space/find-duplicates.svg" alt="Measured on agentmods" height="20"></a>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 | $0.00015 | $0.01571 |
| Opus 5 | $0.00008 | $0.00785 |
| Sonnet 5 | $0.00003 | $0.00314 |
| Haiku 4.5 | $0.00002 | $0.00157 |
Grade A, and why
find-duplicates 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 4d 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 — 227 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Find Duplicates Skill
Detect potential duplicate issues using semantic similarity search with pgvector embeddings.
Quick Start
Use this skill when:
- New issue being created (automatic check)
- User suspects duplicate exists (
/find-duplicates) - Cleaning up issue backlog
Example:
New issue: "Users cannot log in with email addresses"
AI finds duplicates:
- "Login fails for email users" (similarity: 0.92, RECOMMENDED duplicate)
- "Email authentication broken" (similarity: 0.88, RECOMMENDED duplicate)
- "User auth not working" (similarity: 0.65, ALTERNATIVE - may be related)
Workflow
-
Generate Embedding
- Combine issue title + description
- Generate embedding using OpenAI text-embedding-3-large (3072 dims)
- Store in
embeddingscolumn (pgvector)
-
Semantic Search
- Query pgvector for similar issues using cosine similarity
- Filter by project_id (same project)
- Exclude closed/archived issues (optional)
- Return top 10 matches
-
Score Similarity
- RECOMMENDED duplicate (>0.85): Very high semantic overlap
- DEFAULT duplicate (0.70-0.85): Likely duplicate, needs review
- ALTERNATIVE related (0.60-0.70): Possibly related, not duplicate
-
Provide Context
- Include issue status (open, in_progress, closed)
- Show creation date (older = likely original)
- Link to issue for review
Output Format
{
"duplicates": [
{
"issue_id": "issue-abc123",
"title": "Login fails for email users",
"similarity": 0.92,
"confidence": "RECOMMENDED",
"status": "open",
"created_at": "2024-01-15T10:00:00Z",
"rationale": "Very high semantic similarity (0.92), same symptoms described",
"url": "/issues/issue-abc123"
},
{
"issue_id": "issue-def456",
"title": "Email authentication broken",
"similarity": 0.88,
"confidence": "RECOMMENDED",
"status": "in_progress",
"created_at": "2024-01-20T14:30:00Z",
"rationale": "High similarity, currently being worked on",
"url": "/issues/issue-def456"
},
{
"issue_id": "issue-ghi789",
"title": "User auth not working",
"similarity": 0.65,
"confidence": "ALTERNATIVE",
"status": "closed",
"created_at": "2023-12-10T09:15:00Z",
"rationale": "Moderate similarity, may be related but different root cause",
"url": "/issues/issue-ghi789"
}
],
"summary": "Found 3 potential duplicates (2 RECOMMENDED)",
"suggestion": "Review issue-abc123 before creating new issue"
}
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.
- 4d ago First seen · 227 lines · 15 tokens per session scan A 2270afb6d4a2
find-duplicates is a skill published in the GitHub repository pilotspace/pilot-space (2 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 15 tokens to every session and 1,571 once invoked, about $0.0001 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 2026-08-31.
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