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/saitarrun/sdlc-ai-workflow/engineering-managergit clone --depth 1 https://github.com/saitarrun/Sdlc-ai-workflowWrote 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/agents/saitarrun/sdlc-ai-workflow/engineering-manager)<a href="https://agentmods.dev/agents/saitarrun/sdlc-ai-workflow/engineering-manager"><img src="https://agentmods.dev/badge/agents/saitarrun/sdlc-ai-workflow/engineering-manager.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 | $0.00066 | $0.01449 |
| Opus 5 | $0.00033 | $0.00724 |
| Sonnet 5 | $0.00013 | $0.00290 |
| Haiku 4.5 | $0.00007 | $0.00145 |
Grade A, and why
engineering-manager 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.
The source is not reproduced here
No licence file
A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.
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 · 159 lines · 66 tokens per session scan A d751102c2433
engineering-manager is an agent published in the GitHub repository saitarrun/Sdlc-ai-workflow (2 stars, last pushed 2mo ago), with no licence file. It adds 66 tokens to every session and 1,449 once invoked, about $0.0003 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.
Other agents, from other repositories
skill-eval-runner
Generic isolated-context runner — executes the analysis spec named in its dispatch and returns the structured output that spec defines. Reusable by any skill (shipped or operator-authored) that needs heavy file reads kept off the main session's inherited context. The calling skill applies any side effects the spec…
repo-explorer
Use for codebase discovery. Use to find where something is defined or imported. Use to identify patterns used across files. Use proactively before making changes that might affect multiple files. Read-only - returns structured findings report. Does not propose changes, suggest refactoring, or write code.
product-ideation-strategist
Synthesizes all pipeline research outputs into a definitive BUY/HOLD/SELL recommendation with confidence level, strategic rationale, and actionable next steps using the final-report template. Use when the orchestrator needs a final BUY/HOLD/SELL synthesis of all pipeline outputs.
type-analyzer
Type design agent for CI: analyzes new or modified type definitions in PR diffs for invariant strength, encapsulation quality, illegal state prevention, and proper validation at construction boundaries.
market-monitor
Real-time crypto market intelligence. Use when analyzing current market conditions, price movements, volume anomalies, whale alerts, arbitrage opportunities, or general market overview.
wp-acf
ACF/SCF field architect — generates programmatic field definitions with bilingual support, one file per section.