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/amadeus-dlc/amadeus/intent-based-dedupnpx skills add amadeus-dlc/amadeus --skill intent-based-dedupgit clone --depth 1 https://github.com/amadeus-dlc/amadeusWrote 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/amadeus-dlc/amadeus/intent-based-dedup)<a href="https://agentmods.dev/skills/amadeus-dlc/amadeus/intent-based-dedup"><img src="https://agentmods.dev/badge/skills/amadeus-dlc/amadeus/intent-based-dedup.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 5.1 | $0.00067 | $0.00303 |
| Opus 5 | $0.00034 | $0.00151 |
| Sonnet 5 | $0.00013 | $0.00061 |
| Haiku 4.5 | $0.00007 | $0.00030 |
Grade A, and why
intent-based-dedup 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 6d 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.
What it actually says
Intent-Based Deduplication
Deduplicate by intent, not by appearance. Similar text with different reasons to change should stay separate.
Workflow
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Identify the duplicated code and every caller.
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Name the business or technical intent of each copy.
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Compare future change reasons, owners, invariants, and release cadence.
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Deduplicate only when the shared abstraction can be named honestly and will change for one reason.
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If intent differs, keep duplication or extract smaller mechanical helpers that do not pretend to be domain concepts.
Decision Matrix
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Same text, same intent: merge.
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Same text, different intent: keep separate.
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Different text, same intent: consider unifying.
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Different text, different intent: do not merge.
Detailed Reference
For non-trivial implementation, review, or refactoring work, read references/details.md before giving final guidance. It contains the detailed rules, examples, smells, and migration notes that do not belong in the short invocation body.
Output
Return the intent comparison, decision, proposed abstraction name if any, and risks of coupling.
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 6d ago First seen · 40 lines · 67 tokens per session scan A 38b1287e1bee
intent-based-dedup is a skill published in the GitHub repository amadeus-dlc/amadeus (8 stars, last pushed 15d ago), licensed Apache-2.0. It adds 67 tokens to every session and 303 once invoked, about $0.0003 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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