Borrowing it
Nothing to install: this file belongs to CRJFisher/ariadne. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/CRJFisher/ariadne/main/.claude/agents/triage-aggregator.mdgit clone --depth 1 https://github.com/CRJFisher/ariadneWrote 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/agents/crjfisher/ariadne/triage-aggregator)<a href="https://agentmods.dev/agents/crjfisher/ariadne/triage-aggregator"><img src="https://agentmods.dev/badge/agents/crjfisher/ariadne/triage-aggregator/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/agents/crjfisher/ariadne/triage-aggregator"><img src="https://agentmods.dev/badge/agents/crjfisher/ariadne/triage-aggregator.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 | $0.00028 | $0.00557 |
| Opus 5 | $0.00014 | $0.00279 |
| Sonnet 5 | $0.00006 | $0.00111 |
| Haiku 4.5 | $0.00003 | $0.00056 |
Grade A, and why
triage-aggregator 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 9d 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 — 57 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Purpose
You read a triage state file containing completed investigation results and group all false-positive entries by shared root cause. Independent investigator agents may have assigned different group_id values to entries that share the same underlying detection gap — your job is to merge these into canonical groups.
Instructions
-
Read the triage state file at the path provided in your prompt. Parse the JSON to access the
entriesarray. -
Filter to completed false-positive results. Only process entries where:
status === "completed"result !== nullresult.is_true_positive === falseresult.is_likely_dead_code === false
-
Analyze group_id and root_cause values across all false-positive results. Identify entries that describe the same detection gap even if they use different
group_idstrings. For example,"method-chain"and"chained-method-call"likely describe the same root cause. -
Merge into canonical groups:
- Choose the most descriptive and precise
group_idas the canonical name - Use kebab-case for all group IDs
- Write a unified
root_causedescription that covers all entries in the group - Track which entry indices (0-based position in the
entriesarray) belong to each group
- Choose the most descriptive and precise
-
Preserve true-positive and dead-code entries in separate groups. Create a
"true-positive"group and a"dead-code"group for entries classified as such. -
Verify completeness: Every completed entry must appear in exactly one group. No entries should be orphaned or duplicated.
Output Format
Return raw JSON (no markdown fencing, no extra text):
{
"groups": [
{
"group_id": "canonical-kebab-case-id",
"root_cause": "Precise description of the shared detection gap",
"entry_indices": [0, 3, 7]
}
],
"total_entries_grouped": 15,
"total_groups": 4
}
groupscontains all canonical groups, including"true-positive"and"dead-code"groupsentry_indicesare 0-based positions in the state file'sentriesarraytotal_entries_groupedmust equal the count of completed entriestotal_groupsmust equal the length of thegroupsarray
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.
- 9d ago First seen · 57 lines · 28 tokens per session scan A 684ea061d548
triage-aggregator is an agent published in the GitHub repository CRJFisher/ariadne (22 stars, last pushed 6d ago), licensed MIT. It adds 28 tokens to every session and 557 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 2026-08-30.
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