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 commands/mckruz/claude-code-sdlc/sdlc-revisegit clone --depth 1 https://github.com/MCKRUZ/claude-code-sdlcWrote 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/commands/mckruz/claude-code-sdlc/sdlc-revise)<a href="https://agentmods.dev/commands/mckruz/claude-code-sdlc/sdlc-revise"><img src="https://agentmods.dev/badge/commands/mckruz/claude-code-sdlc/sdlc-revise.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 | $0.00000 | $0.01980 |
| Opus 5 | $0.00000 | $0.00990 |
| Sonnet 5 | $0.00000 | $0.00396 |
| Haiku 4.5 | $0.00000 | $0.00198 |
Grade A, and why
sdlc-revise 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 5d 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 — 136 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/sdlc-revise — Change One Specific Artifact (and record why)
Adjust a thing, not a whole file. Artifacts already carry ids, so you revise FR-012 or BR-04
or one section — the command routes the change to the discipline that owns it, records the why with
an owner and a clock, re-gates, and shows you exactly what the change put at risk.
/sdlc-revise FR-012
/sdlc-revise BR-04
/sdlc-revise requirements.md#non-functional-requirements
The One Rule holds throughout: the discipline agent proposes the change; a named human decides it. No agent silently rewrites an artifact.
Instructions
-
Resolve mode and repo root:
- Workflow mode (default): look for
.sdlc/state.yaml; pass--state .sdlc/state.yamlto the scripts. If not found, tell the user to run/sdlc-setupfirst. - Standalone mode (
--repo <path>, or no.sdlc/): operate on the given repo. Note the missing engagement context in the change reason.
- Workflow mode (default): look for
-
Resolve the target — id first, heading fallback.
- If the argument is an id (
FR-012,BR-04,EP-3,US-007,SCEN-02,FE-01,ADR-004), find the artifact that declares it. - If it is
file.md#heading-slug, resolve to that file and section. - If it is a bare file, ask which section/id inside it the user means.
- If ambiguous, ask (
AskUserQuestion) — never guess which artifact.
- If the argument is an id (
-
Preview the blast radius before you change anything:
uv run --project ${CLAUDE_PLUGIN_ROOT}/scripts ${CLAUDE_PLUGIN_ROOT}/scripts/audit_artifacts.py impact <target> --state .sdlc/state.yamlShow the human what depends on this target (declared vs. coarse) so they revise with eyes open.
-
Interview to change it — route to the owning discipline agent. The agent proposes concrete wording; the human confirms or edits.
Before applying the confirmed edit, snapshot the pre-image (advisory, exit 0) so the change is reversible — this captures the artifact's current content into the local version store lockstep with the ledger:
uv run --project ${CLAUDE_PLUGIN_ROOT}/scripts ${CLAUDE_PLUGIN_ROOT}/scripts/audit_artifacts.py record --scan --state .sdlc/state.yamlThen apply the confirmed edit to the artifact file. (Step 5a's
record --event revisedthen captures the post-image, so/sdlc-version diff/rollbacksees both sides of the change.) Content capture is best-effort; if the store can't be written the ledger append is byte-identical.
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.
- 5d ago First seen · 136 lines · 0 tokens per session scan A 16173c325c08
sdlc-revise is a command published in the GitHub repository MCKRUZ/claude-code-sdlc (4 stars, last pushed 7d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,980 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.
Other commands, from other repositories
checklist
Generate a custom checklist for the current feature based on user requirements.
clarify
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.
specify
Create or update the feature specification from a natural language feature description.
converge
Assess the current codebase against the feature's spec, plan, and tasks, then append any remaining unbuilt work as new tasks to tasks.md so implement can complete it.
implement
Execute the implementation plan by processing and executing all tasks defined in tasks.md.
analyze
Perform a non-destructive cross-artifact consistency and quality analysis across spec.md, plan.md, and tasks.md after task generation.