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 skills add tranhieutt/software_development_department --skill architecture-decision-recordsgit clone --depth 1 https://github.com/tranhieutt/software_development_departmentWrote 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/skills/tranhieutt/software_development_department/architecture-decision-records)<a href="https://agentmods.dev/skills/tranhieutt/software_development_department/architecture-decision-records"><img src="https://agentmods.dev/badge/skills/tranhieutt/software_development_department/architecture-decision-records/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/skills/tranhieutt/software_development_department/architecture-decision-records"><img src="https://agentmods.dev/badge/skills/tranhieutt/software_development_department/architecture-decision-records.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 | $0.00049 | $0.01068 |
| Opus 5 | $0.00024 | $0.00534 |
| Sonnet 5 | $0.00010 | $0.00214 |
| Haiku 4.5 | $0.00005 | $0.00107 |
Grade A, and why
architecture-decision-records 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 12d 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 — 143 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Architecture Decision Records
Workflow Protocol
- Determine the next ADR number by scanning
docs/internal/adr/for existing ADRs. - Run the decision-ledger read gate before drafting:
/trace-history --risk High --last 20. Include relevant prior decisions, or state that no relevant high-risk prior decision was found. - Gather context by reading related code and existing ADRs.
- Guide the user through the decision by asking clarifying questions if the title alone is insufficient.
- Generate the ADR following the template below.
- Save the ADR to
docs/internal/adr/ADR-[NNN]-[slug].md. - Update the Index Table in
docs/technical/DECISIONS.md.
When to write an ADR vs skip
| Write ADR | Skip ADR |
|---|---|
| New framework/database adoption | Minor version upgrades |
| API design patterns | Bug fixes |
| Security architecture | Implementation details |
| Integration patterns | Routine maintenance |
ADR lifecycle
Proposed → Accepted → Deprecated → Superseded
↓
Rejected
Template (MADR format — use this)
# ADR-NNN: [Title]
## Status
Accepted | Proposed | Deprecated | Superseded by ADR-NNN
## Context
[Problem statement, current situation, constraints, scale]
## Prior Decision Check
[Result of `/trace-history --risk High --last 20`; cite relevant prior entries
or state "No relevant prior high-risk decisions found."]
## Decision Drivers
- [Must/Should/Could requirement]
## Considered Options
### Option 1: [Name] — [one-line summary]
Pros: ... | Cons: ...
### Option 2: [Name]
Pros: ... | Cons: ...
## Decision
We will use **[Option N]** because [key rationale].
## Consequences
**Positive:** ...
**Negative:** ...
**Risks:** ... Mitigation: ...
## Related ADRs
- ADR-NNN: [relationship]
Quick examples
Lightweight ADR (for clear-cut decisions):
# ADR-0012: Adopt TypeScript for Frontend
**Status**: Accepted | **Date**: 2024-01-15 | **Deciders**: @alice, @bob
## Context
50+ React components with prop-type-mismatch bugs. PropTypes are runtime-only.
## Decision
TypeScript for all new frontend code. Migrate incrementally with `allowJs: true`.
## Consequences
Good: Compile-time errors, better IDE support.
Bad: Learning curve, initial slowdown.
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.
- 12d ago First seen · 143 lines · 49 tokens per session scan A 1232f50d2520
architecture-decision-records is a skill published in the GitHub repository tranhieutt/software_development_department (72 stars, last pushed 4mo ago), licensed MIT. It adds 49 tokens to every session and 1,068 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.
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