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/adelie-squad/solosquad/workflow-refinementnpx skills add Adelie-Squad/solosquad --skill workflow-refinementgit clone --depth 1 https://github.com/Adelie-Squad/solosquadWrote 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/adelie-squad/solosquad/workflow-refinement)<a href="https://agentmods.dev/skills/adelie-squad/solosquad/workflow-refinement"><img src="https://agentmods.dev/badge/skills/adelie-squad/solosquad/workflow-refinement.svg" alt="Measured on agentmods" 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 | $0.00035 | $0.00517 |
| Opus 5 | $0.00017 | $0.00259 |
| Sonnet 5 | $0.00007 | $0.00103 |
| Haiku 4.5 | $0.00003 | $0.00052 |
Grade A, and why
workflow-refinement 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 3d 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
Workflow Refinement Skill
Workflow 종료 시 어떤 stage 가 bottleneck 인지, 어떤 handoff 가 정보 손실 큰지 식별.
입력
- 종료된 workflow id
<org>/workflows/<id>/_status.yaml<org>/workflows/<id>/stage-*/handoff_*.md<org>/memory/ledger/<task-id>.jsonl
분석 차원
per_stage:
- stage_id: "..."
duration_min: <N>
spawns: <N>
open_questions: <N>
handoff_artifact_size_lines: <N>
next_stage_blocked_min: <N> # 다음 stage 시작까지 대기 시간
bottlenecks:
- "stage-3-design (75% of total cycle time)"
handoff_quality:
- from_stage: "stage-2-plan"
to_stage: "stage-3-design"
fidelity: high | medium | low # 다음 stage 가 추가 질문 없이 시작했는지
issues: ["..."]
출력
workflow_id: "..."
cycle_time_total: <min>
bottleneck_stages: [...]
handoff_issues: [...]
refinement_proposals:
- target: stage-3-design
proposal: "researcher → researcher 사이에 explicit handoff template 도입"
expected_impact: "다음 stage 평균 대기 -40%"
effort: small
≥ 2 approaches (gstack)
각 proposal 에 대안 1개 이상.
Anti-Sycophancy
- ❌ "workflow 가 매끄럽게 진행되었습니다"
- ✅ "stage-3 평균 4시간 대기. 원인 = handoff 누락. fix A vs B 비교."
Reference
- v1.1 PRD §5.2 RETROSPECT
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.
- 3d ago First seen · 77 lines · 35 tokens per session scan A 28ae4d263196
workflow-refinement is a skill published in the GitHub repository Adelie-Squad/solosquad (19 stars, last pushed 13d ago), licensed MIT. It adds 35 tokens to every session and 517 once invoked, about $0.0002 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 2026-08-30.
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