loop-review
Skill2 starsChanged 4 months agoMITView on GitHub
Audit and harden an EXISTING agentic-loop prompt or harness against loop-engineering best practices. Use this whenever the user has an agent/loop iterative/autonomous prompt and wants it reviewed, critiqued, scored, or made more reliable — or when they describe loop misbehavior and want to know why: "my agent runs forever / never stops", "it quits too early", "it says it's done but it isn't", "it keeps redoing the same thing", "it forgets progress after a restart", "it edits the tests to pass", "review/improve my iterative agent prompt", "why is my loop flaky". It produces a scored report — critical gaps first, each with a concrete fix — and can rewrite the prompt to close them. Exclude one-shot chatbot/system prompts. If symptoms belong to a completed run or run artifacts, loop-retro diagnoses first. Whole-harness audits are led here even when criteria are the suspected defect. This skill also owns maintenance audits of this six-skill router.
4 other projects use a version of this.
Adopted by
Most recently taken up by
- microlinkhq/skillstheir own version, first seen Nov 1, 2026
- rossinsilico/loop-anythingtheir own version, first seen Oct 11, 2026
- hyodotdev/openiaptheir own version, first seen Oct 9, 2026
- getlago/lago-fronttheir own version, first seen Oct 8, 2026
Other versions4 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 4
- hyodotdev/openiap★ 166same name
- getlago/lago-front★ 163same name
- microlinkhq/skills★ 4same 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 repository6 other files it gives its agents.
- loop-engineeringSkill
- loop-evalSkill
- loop-opsSkill
- loop-retroSkill
- loop-specSkill
- skill-craftSkill
The file
We split this skill into the rules it gives an agent
5 rules. 0 are common, 3 are distinctive, and 2 are very specific to this project.
0
Common
Most of the 4 edited versions we read keep these.
3
Distinctive
This author's own choices. Worth a look.
2
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 38
Run the artifact against the shared checklist in ../loop-engineering/references/checklist.md (the same seven dimensions loop-engineering …
- Very specific: line 58
When FLOW, shared/team memory, provider controls, or host session commands are present, also audit …
- Distinctive: line 70
Then non-critical gaps, ranked by impact: Don't bury the big fix under nits.
- Distinctive: line 73
Quote the prompt: when pointing at a problem.
- Distinctive: line 77
Use this to go straight to the cause when the user reports a behavior:
“Common” is measured: kept by at least 6 in 10 of the 4 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Loop Review
Audit an existing loop prompt or harness and tell the user exactly where it will break and how to fix it. The job is diagnosis + concrete fixes, not a vague "looks good." Most loop pathologies map to a specific missing piece — find it.
Write the report in the user's language; reasoning in English.
Inputs
Get the artifact to review: the loop prompt / system prompt / harness (paste, file path, or repo). If the user describes a symptom instead, the symptom map below points straight at the likely gap. If they have a SPEC or success criteria, read those too — a loop that doesn't match its spec is itself a finding.
How to audit
Run the artifact against the shared checklist in
../loop-engineering/references/checklist.md (the same seven dimensions
loop-engineering builds to). For each item, decide pass / gap / N/A, and for
each gap note the exact missing thing and a one-line fix. Mark conditional
items N/A with evidence; do not penalize a one-session L1 loop for machinery it
does not need. Read
../loop-engineering/references/principles.md if you need the "why" behind a
dimension.
Also parse its component manifest against
../loop-engineering/references/component-catalog.md: flag a missing triggered
component, an included component with no trigger, a selected component with no
reachable runtime clause or emitted evidence (dead), an unmet dependency, or an
acceptance check that is only promised rather than exercised. Audit PROFILE,
RULES, DEVIATIONS, and EXPLAIN explicitly when present or triggered, using
their direct leaves in ../loop-engineering/assets/components/. Missing
structured evidence makes the applicable acceptance check a gap, not a pass.
For L2/L3, prompt-only safety is a critical gap unless environment enforcement
evidence is supplied.
When FLOW, shared/team memory, provider controls, or host session commands are
present, also audit ../loop-engineering/references/runtime-adapters.md and the
runtime contract. Flag parallel side effects, missing/changed authority context,
unhashed control interfaces, obsolete assistant prefill, stale model capability
snapshots, and unverified /fork or /subtask semantics. For shared/team L2/L3,
cross-namespace memory or credential access is a critical gap.
Be a tough but fair reviewer:
- Critical gaps first. The items that cause runaway, drift, or fake success (no hard cap, no verifiable criteria, no externalized state, no real verification, no anti-reward-hacking guardrail). Any one of these means "not ready."
- Then non-critical gaps, ranked by impact. Don't bury the big fix under nits.
- Then what it already does well — so the user knows what not to touch (surgical changes only).
- Quote the prompt when pointing at a problem; concrete beats abstract.
Symptom → likely gap
Use this to go straight to the cause when the user reports a behavior:
| Symptom | Likely missing piece | Dimension |
| Runs forever / never stops | No hard cap; no verifiable "done" | B, A |
| Quits too early / gives up | "Blocked" not defined, or criteria too vague to confirm done | B, A |
| "Done" but it isn't | Verification not mandatory/real; criteria not verifiable | G, A |
| Repeats the same failed action | No "stuck" detection; no hypothesis/progress log | B, D |
| Forgets progress after restart | State not externalized to files | D |
| Edits tests / weakens checks to pass | No anti-reward-hacking guardrail; goal not protected | G, D |
| Tries to do everything at once | No "one increment per iteration" rule | C |
| Slows down / loses the thread over time | No context discipline / compaction / notes | E |
| Picks the wrong next thing | No Orient step / no prioritized task list | C, D |
| Parallel workers overwrite or double-send | Side effects placed in a parallel group | F, D |
| Another channel sees prior memory | State/connector not bound to authority context | D, I |
| Same model scores change after tool swap | Control interface omitted from eval identity | G, F |
Output
A LOOP-REVIEW.md (or inline report) with:
- Verdict — ready / not ready, and the headline reason.
- Score — critical gap count + total gap count (from the checklist).
- Critical gaps — each: what's missing, why it bites, the one-line fix.
- Other gaps — ranked by impact.
- Strengths — what's already good; leave it alone.
Then offer to apply the fixes: rewrite the prompt closing the gaps (using the
loop-engineering template), changing only what the findings require — don't
gold-plate a prompt that's mostly fine. When applying fixes, snapshot the original,
change one conceptual component at a time, and compare representative runs so you
can tell which change helped. Do not replace the whole harness merely to make it
look more systematic.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
Reviews can't be read right now.
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.

