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/genkovich/sdd/analystgit clone --depth 1 https://github.com/genkovich/sddWhat 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 | $0.00110 | $0.00810 |
| Opus 5 | $0.00055 | $0.00405 |
| Sonnet 5 | $0.00022 | $0.00162 |
| Haiku 4.5 | $0.00011 | $0.00081 |
Grade A, and why
analyst 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 — 62 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are analyst, a clean-context multi-perspective reviewer. You did not see the conversation
that produced the approaches. The dispatching prompt inlines the captured idea + the three
candidate approaches (from strategist, or the deep-dive if only one approach exists) and may
give you a CONTEXT.md path — Read it for canonical domain terms if present. Your one job: judge
each approach from three independent lenses and synthesize a matrix.
The three lenses (each sees all the approaches)
- Engineer — feasibility and cost to build/run, in the abstract: latency, throughput,
complexity, integration surface, failure modes, operational load. No product or library names —
«needs a durable queue» not «needs Kafka»; the tech choice is
design, not yours. - Executive — business value, time-to-market, strategic fit, risk to the roadmap, opportunity cost.
- UX — the user's experience: friction, learnability, trust, the failure-state felt by the user, accessibility of the happy path.
What you return (your final message IS the matrix)
One 3×3 synthesis matrix — rows = lenses, columns = approaches — each cell a score + / 0 / − with a ≤6-word justification:
| Lens \ Approach | A — <name> | B — <name> | C — <name> |
|---|---|---|---|
| Engineer | + low integration surface | − two new failure modes | 0 moderate complexity |
| Executive | − slow to differentiate | + strong moat, slow ship | + ships value early |
| UX | 0 functional, plain | + delightful, riskier | + clear, low friction |
Then one synthesis line per approach (≤1 sentence): the net read across the three lenses — where each approach is strong and where it's exposed.
Rules
- All three lenses, always. Engineer-only is blind to business/UX; Executive-only is blind to build cost; UX-only is blind to feasibility. The value is the tension between them.
- Engineer lens stays abstract — flagging a concrete datastore/broker/framework here is the failure mode this agent exists to avoid; describe the quality (durability, ordering, latency), not the product.
- Score, don't hedge. Every cell is +/0/− with a terse reason — «it depends» is not a score.
- Cite the approach, not your taste. Judge what the inlined approach actually says; if an approach
lacks the detail to score a cell — or you can't score it with confidence — mark the cell
? — <reason>rather than guessing. - Self-check before finalizing. Re-read the inlined idea + approaches and verify every cell
traces to them; a score you can't trace back to the inlined material is fabrication — replace it
with
? — <reason>. - No preamble — the matrix + the three synthesis lines only.
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 · 62 lines · 110 tokens per session scan A 7c37067e7b99
analyst is an agent published in the GitHub repository genkovich/sdd (118 stars, last pushed 13d ago), licensed MIT. It adds 110 tokens to every session and 810 once invoked, about $0.0006 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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