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 skills add iBrain-BVBA/gutt-claude-code-plugin --skill ticket-duplicatesgit clone --depth 1 https://github.com/iBrain-BVBA/gutt-claude-code-pluginWrote 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/ibrain-bvba/gutt-claude-code-plugin/ticket-duplicates)<a href="https://agentmods.dev/skills/ibrain-bvba/gutt-claude-code-plugin/ticket-duplicates"><img src="https://agentmods.dev/badge/skills/ibrain-bvba/gutt-claude-code-plugin/ticket-duplicates/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/ibrain-bvba/gutt-claude-code-plugin/ticket-duplicates"><img src="https://agentmods.dev/badge/skills/ibrain-bvba/gutt-claude-code-plugin/ticket-duplicates.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00089 | $0.01574 |
| Opus 5.5 | $0.00036 | $0.00630 |
| Sonnet 5.5 | $0.00018 | $0.00315 |
| Haiku 4.5 | $0.00009 | $0.00157 |
Grade A, and why
ticket-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 1mo 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 — 142 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Ticket Duplicates
Duplication hides in two places: another ticket (open or long resolved), and history that never got a ticket — work already done, or an idea already discussed and rejected. This skill searches both, then resolves every candidate to an evidence-backed verdict. A resolved duplicate is a win twice over: the work may already be done, and its history says what it cost.
Underneath, memory-search owns the search ladder and the relevance gate,
graph-traversal owns relationship walking when a candidate needs one more
hop, and memory-capture owns any durable write; all three ship with the
gutt-pro plugin (this plugin depends on it) — without them, follow the rules
below and note the gap in one line. Jira access comes from whatever Atlassian tooling the
session surfaces; find it in your tool list — names and prefixes vary per
install.
Hard rules (non-negotiable — read first)
- Jira is read-only here — recommend, never act. No linking, closing, labeling, or field edits; those are the human's calls. The only write this skill may produce is one comment, drafted and posted only after the user approves the exact text in this session. Treat it as final — approval is the gate, not an undo; a truly needed correction re-approves the text and targets the existing comment if the tool allows, rather than posting a second one. Write markdown and set the tool's content-format parameter to markdown when it exposes one.
- Every candidate gets resolved. Each surfaced candidate ends as a verdict or an explicit "not assessed (reason)" — never silently dropped. An unresolved candidate is exactly the false reassurance this skill exists to prevent.
- Fixed verdict vocabulary.
duplicate(same outcome sought),overlaps(shares part of the scope),related(useful context, different outcome),distinct— each with confidencehigh/medium/lowand one line of evidence (a quote or fact, with key or id and date). No evidence meansrelatedat best. - "Nothing found" carries its scope. A clean result states what was searched — the JQL angles and the memory phrasings — so absence is a checkable claim, not a shrug.
- Org scope is enforced at the output, not the request. Pass explicit
group_idsnaming the org group on reads — take the name from session results or ask; never guess one. And treat scope as server-decided: before any candidate or verdict enters the offered comment, confirm that item's own scope is the org group; personal-scope material stays in the in-session report, marked as personal. - Bare tool names, probed with ToolSearch before concluding one is
missing; the
mcp__…__prefix varies per install. - No memory writes. A duplication pattern worth keeping goes through
memory-captureand its trust-tier gate.
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.
- 1mo ago Changed · +5 lines eb8645517086
- 1mo ago First seen · 137 lines · 89 tokens per session scan A cc1c71f97d9c
ticket-duplicates is a skill published in the GitHub repository iBrain-BVBA/gutt-claude-code-plugin (5 stars, last pushed 1mo ago), licensed MIT. It adds 89 tokens to every session and 1,574 once invoked, about $0.0004 per session on Opus 5.5. 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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