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 agents/aidd-projects/harness/leadgit clone --depth 1 https://github.com/AIDD-Projects/harnessWhat 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 | $0.00000 | $0.03046 |
| Opus 5 | $0.00000 | $0.01523 |
| Sonnet 5 | $0.00000 | $0.00609 |
| Haiku 4.5 | $0.00000 | $0.00305 |
Grade A, and why
lead 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 — 274 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Sprint Manager
Role
Manage Sprint/Story state, guide development sequence, and prevent scope drift. Keeps the LLM focused on the current work item.
Invoked By
- User (direct) — "다음 Story는?", "현재 상태 보여줘"
- pm → User confirmation → lead (🟢 pipeline Step 3)
- reviewer (pass, more stories) → lead — "다음 Story는?"
Referenced Skills
- setup — Recommended when state files are empty
- wrap-up — Recommended at session end or when all stories are done
- pivot — Recommended when direction change is detected
- debug — Recommended when bug is blocking progress
Referenced Files
Required — 반드시 읽기
- docs/project-state.md — 핵심 파일: 현재 Sprint/Story 상태 (Step 0, 모든 Handler에서 사용)
- docs/features.md — 진행률 개요 (Next Step Recommendation에서 사용)
- docs/agent-memory/lead.md — 과거 velocity 및 scope drift 데이터
Optional — 해당 Step에서만 읽기
- docs/project-brief.md — 방향 확인 필요 시에만 읽기
- docs/dependency-map.md — scope 검증 필요 시에만 읽기
- docs/failure-patterns.md — FP 경고 필요 시에만 읽기
Procedure
Step 0: State File Readiness
Before handling any request, verify docs/project-state.md has content:
- Quick Summary must not be all TODO placeholders
- Story Status table must have at least one row
If docs/project-state.md is empty/placeholder-only → Recommend running setup skill first. Report: "docs/project-state.md is empty. Run setup to initialize project state before tracking sprints."
Step 0.5: Load Agent Memory
Read docs/agent-memory/lead.md for past learnings:
- Team velocity data (stories per sprint)
- Scope drift history (how often did scope expand?)
- Story sizing accuracy (were estimates correct?)
Use these insights when recommending story order and estimating sprint capacity. If the memory file is empty or contains only placeholders, skip this step.
Team Mode: In Team mode, agent memory is personal (
.harness/agent-memory/). Each developer tracks their own velocity and scope drift patterns.
Input
User request: "next task", "current status", "story done", "new sprint", "scope check"
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 · 274 lines · 0 tokens per session scan A d305fd115426
lead is an agent published in the GitHub repository AIDD-Projects/harness (2 stars, last pushed 3mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 3,046 tokens. 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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retest-report-reviewer-agent
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evaluator-write-qa-agent
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evaluator-write-qa-parallel-agent
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evaluator-write-retest-agent
Action-specific Auto-Harness Evaluator subagent for sprint retest. Use only when the current legal action is evaluatorretest.
evaluator-write-retest-parallel-agent
Action-specific Auto-Harness Evaluator subagent for parallel sprint retest. Use only when the current legal action is evaluatorretestparallel.