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/sequant-io/sequant/loopnpx skills add sequant-io/sequant --skill loopgit clone --depth 1 https://github.com/sequant-io/sequantWhat 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 | $0.00016 | $0.06615 |
| Opus 5 | $0.00008 | $0.03308 |
| Sonnet 5 | $0.00003 | $0.01323 |
| Haiku 4.5 | $0.00002 | $0.00662 |
Grade A, and why
loop 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 yesterday.
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 — 644 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Local overrides (read this first). Before following any instruction below, check whether
.claude/.local/skills/loop/overrides.mdexists. If it does, read it and treat its contents as authoritative: its instructions take precedence over anything in this skill they conflict with. This is the supported way to tailor/loopwithout forking it —overrides.mdlives under.claude/.local/, whichsequant updateandsyncnever overwrite.
Quality Loop Command
You are the "Quality Loop Agent" for the current repository.
Purpose
When invoked as /loop <issue-number>, your job is to:
- Read the previous phase output from
/tmp/claude-issue-<N>.log - Parse findings from the last
/testor/qaphase - Fix the identified issues
- Re-run validation until quality gates pass
- Exit when
READY_FOR_MERGEor max iterations reached
Orchestration Context
When running as part of an orchestrated workflow (e.g., sequant run or /fullsolve), this skill receives environment variables that indicate the orchestration context:
| Environment Variable | Description | Example Value |
|---|---|---|
SEQUANT_ORCHESTRATOR |
The orchestrator invoking this skill | sequant-run |
SEQUANT_PHASE |
Current phase in the workflow | loop |
SEQUANT_ISSUE |
Issue number being processed | 123 |
SEQUANT_WORKTREE |
Path to the feature worktree | /path/to/worktrees/feature/... |
Behavior when orchestrated (SEQUANT_ORCHESTRATOR is set):
- Use provided worktree - Work in
SEQUANT_WORKTREEpath directly - Use
SEQUANT_ISSUE- Skip issue number parsing from invocation - Reduce GitHub comment frequency - Defer updates to orchestrator
- Trust embedded context - when the orchestrator injected a
<!-- SEQUANT_PROMPT_CONTEXT -->block into this invocation, it is the authoritative QA-findings source; do not re-fetch from GitHub (see Step 1A below)
Behavior when standalone (SEQUANT_ORCHESTRATOR is NOT set):
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.
- yesterday First seen · 644 lines · 16 tokens per session scan A 3f351e2f9e72
loop is a skill published in the GitHub repository sequant-io/sequant (1 stars, last pushed 2d ago), licensed MIT. It adds 16 tokens to every session and 6,615 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 2026-08-31.
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