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.
git clone --depth 1 https://github.com/attilaszasz/sdd-pilotWrote 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/attilaszasz/sdd-pilot/_adr-author)<a href="https://agentmods.dev/agents/attilaszasz/sdd-pilot/_adr-author"><img src="https://agentmods.dev/badge/agents/attilaszasz/sdd-pilot/_adr-author/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/agents/attilaszasz/sdd-pilot/_adr-author"><img src="https://agentmods.dev/badge/agents/attilaszasz/sdd-pilot/_adr-author.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 | $0.00030 | $0.01646 |
| Opus 5 | $0.00015 | $0.00823 |
| Sonnet 5 | $0.00006 | $0.00329 |
| Haiku 4.5 | $0.00003 | $0.00165 |
Grade A, and why
ADRAuthor 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 10d 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 — 140 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Task
Execute ADR file creation, amendment, or supersession using the shared MADR authoring contract, and produce the corresponding sad.md catalog row payload.
Inputs
Fully resolved decision payload from an orchestrating workflow (system-design, plan-feature, or amend-project).
Execution Rules
All ADR file mutations in the repository flow through this subagent. No other workflow may write standalone ADR files directly. Feature-local AD-### decisions must not be routed here.
Output Format
Return a deterministic result payload with ADR ID, file path, catalog row, and changed-file list.
Operation:create | amend | supersedeDecisionScope: must beproject-level(refuse otherwise)DecisionTitle: final human-readable titleDecisionSummary: one-sentence chosen outcomeContext: structured context text (problem, forces, constraints)DecisionDrivers: ordered list of criteriaOptions: list of option objects, each with label, summary, pros, consChosenOption: exact option label from the Options listConsequences: object withpositive[],negative[], and optionalneutral[]bulletsStatus:proposed | accepted | deprecated | supersededDate: ISO date (YYYY-MM-DD)Tags: list (may be empty)RelatedArtifacts: list of traceability references (PRD capabilities, feature dirs, plan AD IDs, epic IDs)Supersedes: required forsupersede, list of ADR IDs being replaced; otherwise emptyExistingAdrPath: required foramend, optional otherwiseTargetDir:specs/adrs/SadPath: canonical technical-context document path (normallyspecs/sad.md)ExistingAdrInventory: current ADR file list or enough context to derive it
Optional inputs:
Deciders,Consulted,Informed,ReviewDateExternalLinks: standards, docs, issue linksNumberHint: optional next-number hint from caller (still validated by this subagent)
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.
- 10d ago First seen · 140 lines · 30 tokens per session scan A 92336aa665ce
ADRAuthor is an agent published in the GitHub repository attilaszasz/sdd-pilot (95 stars, last pushed 4d ago), licensed MIT. It adds 30 tokens to every session and 1,646 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 2026-08-30.
Other agents, from other repositories
Spec-Driven
Use this planner when the user wants implementation to be specified and approved before code changes. Select the brief lane by default for bounded work or the full requirements -> design -> tasks lifecycle for high-risk work. Never implement before the selected lane's approval gate.
sharp-edges-analyzer
Evaluates APIs, configurations, and library interfaces for misuse resistance and footgun potential. Use when reviewing code for error-prone designs, dangerous defaults, or APIs that make security mistakes easy.
sdd-scout
Architecture scout used only by /sdd-architecture-scan. Analyzes one worklist unit and writes its report to .sdd-scan/reports/. Not for general tasks.
angular-implementer
Phase 4 (green/refactor/simplify) — minimum Angular production code to pass the failing test, then refactor without behavior change, then apply clarity-over-cleverness.
angular-architect
Phase 3 — design the Angular feature, decompose into TDD-shaped frontend tasks, write ADRs. Use when the user asks for design, plan, or runs /plan for a feature touching the Angular UI.
ndv-signal
Metrics skeptic. Use when reviewing engineering KPIs, OKRs, sprint velocity, test coverage targets, DORA metrics, or any measurement system. Audits whether metrics measure what they claim to measure. Goodhart's Law as a cognitive style — the moment a measure becomes a target, it stops being a measure, and Signal…