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/saitarrun/devforge-ai/sdlc-diagnosegit clone --depth 1 https://github.com/saitarrun/Devforge-aiWrote 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/saitarrun/devforge-ai/sdlc-diagnose)<a href="https://agentmods.dev/commands/saitarrun/devforge-ai/sdlc-diagnose"><img src="https://agentmods.dev/badge/commands/saitarrun/devforge-ai/sdlc-diagnose.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 | $0.00030 | $0.00495 |
| Opus 5 | $0.00015 | $0.00247 |
| Sonnet 5 | $0.00006 | $0.00099 |
| Haiku 4.5 | $0.00003 | $0.00049 |
Grade A, and why
sdlc-diagnose 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 4d 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
Automated Root Cause Analysis & Surgical Fix Command
This command conducts automated bisection, AST call-graph backtracking, and surgical remediation on massive, multi-million-file enterprise codebases without token bloat or blind file scans.
Usage
/sdlc-diagnose "Claim deductible calculation failed on policy renewal"
/sdlc-diagnose "500 Internal Error on /claims/payout" --service claims-engine
/sdlc-diagnose "Underwriting rule timeout on high-risk auto policies" --auto-fix
Process
- Domain & Subsystem Isolation:
- Isolates the responsible service/module out of 1.5M+ files using stack traces, logs, and package boundaries.
- AST & Call-Graph Traversal:
- Queries
code-review-graphto build a structural execution chain from ingress controller down to the business calculation and database query.
- Queries
- Reproducing Test Harness Construction:
- Synthesizes a deterministic failing test case matching the exact error conditions before any code is modified.
- Surgical Remediation (Ralph Loop):
- Formulates ranked hypotheses, instruments the failure point, executes minimal patch updates, and verifies the fix against the regression suite.
- Blast-Radius Verification:
- Checks all dependent downstream modules to guarantee zero unintended side effects.
Output Format
### 🔍 Root Cause Analysis & Remediation Report
**Target Domain**: `apps/claims-engine/services/calculation.service.ts`
**Root Cause**: Precision truncation on line 142 during deductible calculation under high-deductible policy schema.
#### 🛠️ Surgical Remediation Applied
- **Test Harness**: `tests/unit/claims/deductible-calculation.spec.ts` (Reproduced & Passed)
- **Code Changes**: Modified `calculateNetPayout()` to use `BigNumber` decimal precision.
- **Blast-Radius Check**: Verified 6 dependent insurance services (Underwriting, Ledger, Billing).
- **Status**: ✅ All regression and contract tests passing.
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.
- 4d ago First seen · 45 lines · 30 tokens per session scan A dc4d15612e11
sdlc-diagnose is a command published in the GitHub repository saitarrun/Devforge-ai (5 stars, last pushed 21d ago), licensed Apache-2.0. It adds 30 tokens to every session and 495 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 2026-08-31.
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