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/rtk-ai/rtk/rtk-triagenpx skills add rtk-ai/rtk --skill rtk-triagegit clone --depth 1 https://github.com/rtk-ai/rtkWrote 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/rtk-ai/rtk/rtk-triage)<a href="https://agentmods.dev/skills/rtk-ai/rtk/rtk-triage"><img src="https://agentmods.dev/badge/skills/rtk-ai/rtk/rtk-triage.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 | $0.00096 | $0.01879 |
| Opus 5 | $0.00048 | $0.00940 |
| Sonnet 5 | $0.00019 | $0.00376 |
| Haiku 4.5 | $0.00010 | $0.00188 |
Grade A, and why
rtk-triage 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 — 245 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/rtk-triage
Orchestrateur de triage RTK. Fusionne issue-triage + pr-triage et produit une analyse croisée.
Quand utiliser
- Hebdomadaire ou avant chaque sprint
- Quand le backlog PR/issues grossit rapidement
- Pour identifier les doublons avant de reviewer
Workflow en 4 phases
Phase 0 — Préconditions
git rev-parse --is-inside-work-tree
gh auth status
Vérifier que la date actuelle est connue (utiliser date +%Y-%m-%d).
Phase 1 — Data gathering (parallèle)
Lancer les deux collectes simultanément :
Issues :
gh repo view --json nameWithOwner -q .nameWithOwner
gh issue list --state open --limit 150 \
--json number,title,author,createdAt,updatedAt,labels,assignees,body
gh issue list --state closed --limit 20 \
--json number,title,labels,closedAt
gh api "repos/{owner}/{repo}/collaborators" --jq '.[].login'
PRs :
# Fetcher toutes les PRs ouvertes — paginer si nécessaire (gh limite à 200 par appel)
gh pr list --state open --limit 200 \
--json number,title,author,createdAt,updatedAt,additions,deletions,changedFiles,isDraft,mergeable,reviewDecision,statusCheckRollup,body
# Si le repo a >200 PRs ouvertes, relancer avec --search pour paginer :
# gh pr list --state open --limit 200 --search "is:pr is:open sort:updated-desc" ...
# Pour chaque PR, récupérer les fichiers modifiés (nécessaire pour overlap detection)
# Prioriser les PRs candidates (même domaine, même auteur)
gh pr view {num} --json files --jq '[.files[].path] | join(",")'
Phase 2 — Triage individuel
Exécuter les analyses de /issue-triage et /pr-triage séparément (même logique que les skills individuels) pour produire :
Issues :
- Catégorisation (Bug/Feature/Enhancement/Question/Duplicate)
- Risque (Rouge/Jaune/Vert)
- Staleness (>30j)
- Map
issue_number → [PR numbers]via scanfixes #N,closes #N,resolves #N
PRs :
- Taille (XS/S/M/L/XL)
- CI status (clean/dirty)
- Nos PRs vs externes
- Overlaps (>50% fichiers communs entre 2 PRs)
- Clusters (auteur avec 3+ PRs)
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 · 245 lines · 96 tokens per session scan A 01d07ab5e977
rtk-triage is a skill published in the GitHub repository rtk-ai/rtk (78,445 stars, last pushed today), licensed Apache-2.0. It adds 96 tokens to every session and 1,879 once invoked, about $0.0005 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.
Other skills, from other repositories
rtk-triage
Triage complet RTK : exécute issue-triage + pr-triage en parallèle, puis croise les données pour détecter doubles couvertures, trous sécurité, P0 sans PR, et conflits internes. Sauvegarde dans claudedocs/RTK-YYYY-MM-DD.md. Args: "en"/"fr" pour la langue (défaut: fr), "save" pour forcer la sauvegarde.
pr-triage
PR triage: audit open PRs, deep review selected ones, draft and post review comments. Args: "all" to review all, PR numbers to focus (e.g. "42 57"), "en"/"fr" for language, no arg = audit only in French.
build-teaql-app
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orchestrate
Pipeline orchestration: dispatch the highest-priority ready tasks/work units to agents, manage capacity, and coordinate the Todo to Done flow. Invoked as /agiflow:orchestrate. Uses listtasks, listactivetasksbyorg, listmembers, updatetask, getworkunitprogress.
moai-ref-ui-polish
UI polish and interface-completion reference: the small visual details — concentric border radius, optical alignment, shadow-vs-border, motion easing, typography smoothing, tabular numbers, icon stroke weight, hit areas — that separate polished interfaces from generic ones. Agent-extending skill that amplifies…