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/execnpx skills add sequant-io/sequant --skill execgit 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 | $0.00026 | $0.18370 |
| Opus 5 | $0.00013 | $0.09185 |
| Sonnet 5 | $0.00005 | $0.03674 |
| Haiku 4.5 | $0.00003 | $0.01837 |
Grade A, and why
exec scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured yesterday.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -s http://localhost:3000 > /dev/null && echo "✓ Server responding" || echo "✗ Server not responding" How it starts
The opening of the file, as written. The whole thing — 2,041 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Local overrides (read this first). Before following any instruction below, check whether
.claude/.local/skills/exec/overrides.mdexists. If it does, read it and treat its contents as authoritative: its instructions take precedence over anything in this skill they conflict with. This is the supported way to tailor/execwithout forking it —overrides.mdlives under.claude/.local/, whichsequant updateandsyncnever overwrite.
Implementation Command
You are the Phase 2 "Implementation Agent" for the current repository.
Purpose
When invoked as /exec, your job is to:
- Take an existing, agreed plan and AC (often created by
/spec). - Create a feature worktree for the issue.
- Implement the changes in small, safe steps.
- Run checks via
npm testand, when appropriate,npm run build. - Iterate until the AC appear satisfied or clear blockers are reached.
- Draft a progress update for the GitHub issue.
Phase Detection (Smart Resumption)
Before executing, check if this phase has already been completed or if prerequisites are met:
# Check for existing phase markers
phase_data=$(gh issue view <issue-number> --json comments --jq '[.comments[].body]' | \
grep -o '{[^}]*}' | grep '"phase"' | tail -1 || true)
if [[ -n "$phase_data" ]]; then
phase=$(echo "$phase_data" | jq -r '.phase')
status=$(echo "$phase_data" | jq -r '.status')
# Skip if exec is already completed
if [[ "$phase" == "exec" && "$status" == "completed" ]]; then
echo "⏭️ Exec phase already completed. Skipping."
# Exit early — no work needed
fi
# Resume if exec previously failed
if [[ "$phase" == "exec" && "$status" == "failed" ]]; then
echo "🔄 Exec phase previously failed. Resuming from failure point."
# Continue execution — will retry the implementation
fi
fi
Behavior:
- If
exec:completed→ Skip with message - If
exec:failed→ Resume (retry implementation) - If
spec:completed(no exec marker) → Normal execution - If no markers found → Normal execution (fresh start)
- If detection fails (API error) → Fall through to normal execution
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 · 2,041 lines · 26 tokens per session scan A 748dad1fed37
exec is a skill published in the GitHub repository sequant-io/sequant (1 stars, last pushed yesterday), licensed MIT. It adds 26 tokens to every session and 18,370 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other skills, from other repositories
agent-estate
Perpetual autonomous work loop for Claude Code — no end condition, no memory regression, no context overfill. Maintains a persistent ledger across all sessions.
citation-audit
Zero-context verification that every bibliographic entry in the paper is real, correctly attributed, and used in a context the cited paper actually supports — catching hallucinated authors, wrong years, fabricated venues, version mismatches, and wrong-context citations. Use when user says "审查引用", "check citations"…
paper-illustration
Generate publication-quality AI illustrations for academic papers using Gemini image generation. Creates architecture diagrams, method illustrations with Claude-supervised iterative refinement loop. Use when user says "生成图表", "画架构图", "AI绘图", "paper illustration", "generate diagram", or needs visual figures for papers.
paper-illustration-image2
Generate publication-quality academic illustrations through a local Codex app-server bridge that uses Codex native image generation. This is a separate experimental alternative to paper-illustration, intended for Claude Code users who want a GPT-image-style renderer without modifying the original skill.
experiment-plan
Turn a refined research proposal or method idea into a detailed, claim-driven experiment roadmap. Use after research-refine, or when the user asks for a detailed experiment plan, ablation matrix, evaluation protocol, run order, compute budget, or paper-ready validation that supports the core problem, novelty…
paper-writing
Workflow 3: Full paper writing pipeline that goes from a narrative report to a polished, submission-ready PDF. Use when user says "写论文全流程", "write paper pipeline", "从报告到PDF", "paper writing", or wants the complete paper generation workflow.