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/ibrain-bvba/gutt-claude-code-plugin/ticket-researchnpx skills add iBrain-BVBA/gutt-claude-code-plugin --skill ticket-researchgit 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-research)<a href="https://agentmods.dev/skills/ibrain-bvba/gutt-claude-code-plugin/ticket-research"><img src="https://agentmods.dev/badge/skills/ibrain-bvba/gutt-claude-code-plugin/ticket-research.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 | $0.00110 | $0.01787 |
| Opus 5 | $0.00055 | $0.00894 |
| Sonnet 5 | $0.00022 | $0.00357 |
| Haiku 4.5 | $0.00011 | $0.00179 |
Grade A, and why
ticket-research 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.
How it starts
The opening of the file, as written. The whole thing — 160 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Ticket Research
A ticket records what to do; the reasons — the decisions, the meeting where it came up, who wanted it and why — usually live outside it. This skill assembles both halves into one cited brief: what Jira says, what organizational memory adds, and what remains genuinely unknown. The brief makes a ticket's context reliable; it does not replace the developer's judgment — every claim carries its source, and thin evidence is labeled thin rather than smoothed over.
Underneath, memory-search owns the search ladder and the relevance gate,
graph-traversal owns relationship walking when a summary names more than it
states, and memory-capture owns any durable write. Those 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 — an issue fetch, a JQL search, a comment tool.
Find them in your tool list; names and prefixes vary per install.
Hard rules (non-negotiable — read first)
- Jira is read-only here — with one gated exception. Never edit a ticket's fields, status, description, or acceptance criteria. The only write this skill may produce is one comment, drafted in your reply and posted only after the user approves the exact text in this session. Treat the posted comment as final: approval is the gate, not an undo. If a correction is truly needed and the comment tool can target an existing comment, use that with freshly approved text rather than posting a second comment. Write the body as markdown and set the tool's content-format parameter to markdown when it exposes one.
- Every finding cited. Every positive finding names its source: a ticket field, a comment (author, date), a memory node, fact, or episode (id, date), or a linked ticket key. A claim you cannot cite does not go in the brief. Gaps are the exception by nature: a gap names what is absent and where an answer might come from, not a source.
- Evidence, not verdicts. Report what was found and what it implies as a question, not a conclusion — "X was decided on (id) — does it still hold here?" beats "do X". The developer keeps the judgment.
- Org scope is enforced at the output, not the request. Pass explicit
group_idsnaming the org group on reads — take the name from results already in the session or ask; never guess one, a guessed group id is a fabricated identifier. And treat scope as server-decided: the parameter states intent, it does not reliably filter. The check that holds happens at condense time — before any item enters the offered Jira comment, confirm that item's own scope is the org group; personal-scope findings stay in the in-session brief, marked as personal. - Bare tool names. Call memory and Jira tools by whatever names your tool
list surfaces; the
mcp__…__prefix varies per install. Probe with ToolSearch before concluding a tool is missing. - No memory writes. If research surfaces something durable — a gap
pattern, a decision nobody recorded — hand it to
memory-capture(its trust-tier gate applies). This skill only reads.
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 · 160 lines · 110 tokens per session scan A 5f54cabffe92
ticket-research is a skill published in the GitHub repository iBrain-BVBA/gutt-claude-code-plugin (5 stars, last pushed 3d ago), licensed MIT. It adds 110 tokens to every session and 1,787 once invoked, about $0.0006 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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