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 skills add volodchenkov/claude-sdlc-agents --skill documentation-disciplinegit clone --depth 1 https://github.com/volodchenkov/claude-sdlc-agentsWrote 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/volodchenkov/claude-sdlc-agents/documentation-discipline)<a href="https://agentmods.dev/skills/volodchenkov/claude-sdlc-agents/documentation-discipline"><img src="https://agentmods.dev/badge/skills/volodchenkov/claude-sdlc-agents/documentation-discipline/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/volodchenkov/claude-sdlc-agents/documentation-discipline"><img src="https://agentmods.dev/badge/skills/volodchenkov/claude-sdlc-agents/documentation-discipline.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00076 | $0.03102 |
| Opus 5 | $0.00038 | $0.01551 |
| Sonnet 5 | $0.00015 | $0.00620 |
| Haiku 4.5 | $0.00008 | $0.00310 |
Grade A, and why
documentation-discipline 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 8d 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 — 301 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Documentation Discipline
Rule: the author of the change owns the documentation. No one else picks it up after you. Code without documentation is incomplete — it stays in PLAN, not in CHANGES.
What to document, when, where
1. Docstrings (Python — )
A common Django setup uses Sphinx with napoleon extension (<backend-app>/docs/source/conf.py). Style: Google-style docstrings (napoleon's default and most readable).
When: every non-trivial function / class / module you add OR significantly modify.
Where: in the file, immediately after the def / class line.
Google-style format:
def calculate_delivery_estimate(order, region):
"""Estimate the delivery date for an order to a region.
Combines carrier SLA (CDEK / Yandex), warehouse processing time,
and the region's holiday calendar.
Args:
order: Order instance to estimate delivery for.
region: Region instance (destination).
Returns:
datetime.date — the expected delivery date in region's local TZ,
the latest of (now + carrier SLA) and (next working day in region).
Raises:
ValueError: if region has no carrier configured.
"""
Class docstrings:
class OrderViewSet(ModelViewSet):
"""REST endpoints for customer-facing order management.
Filtered by `request.user.company` — multitenancy enforced.
Customer can list / retrieve their own orders, cancel pending ones.
Admin actions (status change, refund) are in employees.orders.
"""
Module docstring (top of models.py, services.py, etc.):
"""Customer-facing order domain.
Aggregates: Order, OrderItem, OrderHistory.
Owns the customer side of the order lifecycle (placement → cancellation).
Admin-side mutations are delegated to `employees.orders`.
"""
Skip: trivial getters / one-line setters / obvious property declarations. Comments noise = bad.
Module-level RST files: each Django app has a .rst in <backend-app>/docs/source/<app>.rst for architectural overview. When adding a new app or significantly changing one — update or create the corresponding RST.
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.
- 8d ago First seen · 301 lines · 76 tokens per session scan A f9f643b33912
documentation-discipline is a skill published in the GitHub repository volodchenkov/claude-sdlc-agents (2 stars, last pushed 1mo ago), licensed MIT. It adds 76 tokens to every session and 3,102 once invoked, about $0.0004 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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