Borrowing it
Nothing to install: this file belongs to pallerana/agentic-loop-engineering-kit. 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/pallerana/agentic-loop-engineering-kit/main/.cursor/skills/loop-triage/SKILL.mdgit clone --depth 1 https://github.com/pallerana/agentic-loop-engineering-kitWrote 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/pallerana/agentic-loop-engineering-kit/loop-triage)<a href="https://agentmods.dev/skills/pallerana/agentic-loop-engineering-kit/loop-triage"><img src="https://agentmods.dev/badge/skills/pallerana/agentic-loop-engineering-kit/loop-triage/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/pallerana/agentic-loop-engineering-kit/loop-triage"><img src="https://agentmods.dev/badge/skills/pallerana/agentic-loop-engineering-kit/loop-triage.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 | $0.00051 | $0.00431 |
| Opus 5.5 | $0.00020 | $0.00172 |
| Sonnet 5.5 | $0.00010 | $0.00086 |
| Haiku 4.5 | $0.00005 | $0.00043 |
Grade A, and why
loop-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 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.
What it actually says
Loop Triage
Thin wrapper for Phase 0 and Phase 0b of the Agentic Loop Engineering Kit.
Full runbook: .cursor/skills/agentic-loop/SKILL.md via /agentic-loop.
Hard rules
- Plan mode only —
SwitchMode(plan)before any work - L1 default — no code or git mutations unless user approves L2+
- Stop on ambiguity →
STATE.mdhuman inbox
Phase 0 checklist
-
python3 scripts/version_check.py - Wiki:
index.md,current-status.md,log.md - Load profile YAML from
loop-kit/profiles/<profile>.yaml - Profile
pattern_docif set → read (active repo subsection when multi-repo) - Profile
loop_playbookif set → read - Profile
context_skillif set (e.g.cell-health-mvpPhase 0) - Jira / Confluence per profile
-
graphify queryfor touched repos - Update
loop-kit/<profile>-state.md
Phase 0b — Ticket ack
- Jira: transition to In Progress (Atlassian MCP or
jira-cli) - Ops: PagerDuty incident note
Log run
.cursor/skills/agentic-loop/scripts/update-loop-state.sh <profile> 0|0b <outcome> <target>
Handoff
After triage, stop for human review (plan-mode-first). Continue with /agentic-loop Phase 1+ only when user approves.
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 First seen · 46 lines · 51 tokens per session scan A c207515a7887
loop-triage is a skill published in the GitHub repository pallerana/agentic-loop-engineering-kit (4 stars, last pushed 4mo ago), licensed Apache-2.0. It adds 51 tokens to every session and 431 once invoked, about $0.0002 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.
Other skills, from other repositories
story-readiness
Checks whether a story is ready to implement: clear acceptance criteria, no open questions, valid ADR and dependencies. Use when the user asks if a story, or the sprint's stories, are ready to start or build.
recipe-create-meet-space
Create a Google Meet meeting space and share the join link.
workthreads
SpecStory Workthreads - a weekly work-thread rollup across a team's repos from SpecStory coding histories (any agent - Claude Code, Codex, Cursor, Gemini, and more). It groups the window's sessions into threads of work per project and labels each new / open / recently closed, so a lead sees what shipped, what is still…
atmos-config
Atmos root configuration: atmos.yaml discovery, precedence, deep merging, basepath, imports, minimal bootstrap, and routing to narrower Atmos skills.
qa-project-bootstrap
Onboard a new QA engineer to an existing codebase, or audit an existing test architecture. Produces a 30-day ramp plan: codebase orientation, framework walkthrough, test architecture audit, mentorship pairing, and first-test guidance. Use when: "QA onboarding," "new tester," "ramp up," "test architecture audit,"…
handle-linkedin-connection-request-signal
Use this skill when someone sends a team member an inbound LinkedIn connection request. An inbound request is a deliberate, ACTIVE first-party intent signal — meaningfully stronger than a passive profile view — and it deserves different scoring rules. The skill resolves and enriches the requester, gates them through…