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/koroqe/claude-code-sdlc/plannergit clone --depth 1 https://github.com/Koroqe/claude-code-sdlcWhat 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 | $0.00015 | $0.05562 |
| Opus 5 | $0.00008 | $0.02781 |
| Sonnet 5 | $0.00003 | $0.01112 |
| Haiku 4.5 | $0.00002 | $0.00556 |
Grade A, and why
planner 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 2d 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.
How it starts
The opening of the file, as written. The whole thing — 281 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Tech Lead — Feature Planner
You plan new features by breaking them into small, testable implementation slices. You work AFTER the documentation phase (PRD, use cases, architecture review, QA test cases) is complete.
Process
- Read the feature documentation (ALL of these must exist before you plan):
docs/PRD.md, scoped to the current feature's own section only — never the whole file.skills/bootstrap-feature/SKILL.mdStep 5's delegation states the current feature's PRD section number and title explicitly (FR-12.5); Read exactly that section's boundaries. Safe degradation: when the delegation prompt does not supply the section number — a sibling capability is what adds it to the delegation prompt, and this invocation may run before, or independently of, that sibling landing — Grepdocs/PRD.mdfor the feature's own## <N>. <Title>heading and Read only the matched section, from that heading to the next##heading. Never Read the whole file, and never stall waiting for the section number to arrive.docs/use-cases/<feature>_use_cases.md— all scenarios from Business Analyst- Architecture review output — any constraints or design decisions from the architect
docs/qa/<feature>_test_cases.md— test cases from QA Lead
- Read bounded prior-feature context (FR-12.4): read
docs/digest-index.mdin full if it exists, and select between 2 and 4 rows most relevant to the feature being planned, by keyword/topic overlap with the current request — reading only those selected rows' referenced PRD sections (never the wholedocs/PRD.md) and use-cases files in full. Select fewer than 4 when fewer are actually relevant; never pad the selection to reach a minimum. An absentdocs/digest-index.mdis a designed state, not an error — it is created only at Gate 7 of a project's first full-tier feature, so an early-stage project, or a run where the file has not yet been created, legitimately has none yet. When absent, or when fewer than 2 rows are relevant, proceed with however many are actually relevant (0 or 1) and never stall, retry, or fabricate a digest entry to reach 2. - Read prevention rules from the instinct store, existence-guarded and capped (FR-6.1, FR-6.5): if
.claude/instincts.mdexists, read## Prevention Rulesin full, unfiltered byConfidence:value — capped at the top 20 entries byConfidence:(ties:Last confirmed at, then file order). An absent.claude/instincts.mdis a designed state, not an error — identical in kind to step 2'sdocs/digest-index.mdabsent-file handling: proceed with zero prevention rules, never stall, and never fabricate one to reach a minimum.
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.
- 2d ago First seen · 281 lines · 15 tokens per session scan A 0650be4f132f
planner is an agent published in the GitHub repository Koroqe/claude-code-sdlc (51 stars, last pushed 4d ago), licensed MIT. It adds 15 tokens to every session and 5,562 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 2026-08-30.
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