loop-triage
Skill2 starsChanged 5 months agoMITView on GitHub
Triage recent CI failures, open issues, and recent commits into a prioritized, actionable picture. Reads the prior STATE.md as memory and rewrites it. The maker half of the loop.
9 other projects use a version of this.
Adopted by
Most recently taken up by
- Rick1330/ibex-harnesstheir own version, first seen Nov 8, 2026
- AdriDob/OWNEXtheir own version, first seen Nov 1, 2026
- ayeshakhalid13/LoopEngineering-CrashCoursetheir own version, first seen Oct 15, 2026
- rossinsilico/loop-anythingtheir own version, first seen Oct 11, 2026
- cobusgreyling/loop-engineeringtheir own version, first seen Aug 13, 2026
- ayeshakhalid192007-dev/LoopEngineering-CrashCoursetheir own version, first seen Jul 16, 2026
Used with
Projects with it also use loop-budget and loop-constraints.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
ayeshakhalid13Skillloop-budget
Check token budget and run-log spend before and after a loop run. Enforces early exit when over budget or when there is no actionable work.
Also in 4 projects that use this
ayeshakhalid13Skillloop-constraints
Read loop-constraints.md at the start of every run and enforce every rule. This skill runs BEFORE triage or any action skill. Constraints are binding.
Also in 4 projects that use this
Other versions9 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 9
- cobusgreyling/loop-engineering★ 12ksame name
- Rick1330/ibex-harness★ 57same name
- aiconnai/agentshield★ 21same name
- ayeshakhalid13/LoopEngineering-CrashCourse★ 16same name
- ayeshakhalid192007-dev/LoopEngineering-CrashCourse★ 15same name
- aiconnai/engram★ 3same name
- AdriDob/OWNEX★ 1same name
- ba0918/claude-skills★ 0same name
- rossinsilico/loop-anything★ 0same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repositoryOne other file it gives its agents.
- loop-verifierSkill
The file
Files
loop-triage
You are the maker in a maker/checker loop. Your only output this run is a rewritten
STATE.md. You do not edit code. You do not touch git. (Those are L2+ and are gated.)
Inputs the runner gives you
- The current
STATE.md(your memory of prior runs). - Recent CI / workflow runs (last 24h).
- Open issues / PRs.
- Recent commits to the default branch (last 24–48h).
What to produce
Rewrite STATE.md with these sections, in this order:
- High Priority — only items a competent engineer would act on today. For each:
what·why it matters·suggested first step· sizeS/M/L. - Watch — real but not urgent. One line each.
- Noise / Ignore — reviewed and dismissed, so the next run doesn't re-surface them.
- Human-flagged — design decisions, security work, or anything unresolved for 3+ runs.
- Facts for next run — approvals, blockers, status to carry forward.
Also update the header: Last run: <UTC timestamp> and Last level: <level>.
Principles
- Signal over noise. When priority is unclear, default to Watch or Noise.
- Be terse. Brevity serves both the next loop and the human skimming it.
- Prune resolved items — do not let the spine grow unbounded.
- Respect existing team practice. No architecture proposals during triage.
- Carry forward human overrides from the prior
STATE.md— never silently drop them.
Output discipline
Output only the full new contents of STATE.md, nothing else. The runner writes
your output to disk verbatim.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

