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 skills/me2resh/agent-decision-record/agdr-decidenpx skills add me2resh/agent-decision-record --skill agdr-decidegit clone --depth 1 https://github.com/me2resh/agent-decision-recordWrote 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/me2resh/agent-decision-record/agdr-decide)<a href="https://agentmods.dev/skills/me2resh/agent-decision-record/agdr-decide"><img src="https://agentmods.dev/badge/skills/me2resh/agent-decision-record/agdr-decide.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 5.1 | $0.00078 | $0.00705 |
| Opus 5 | $0.00039 | $0.00352 |
| Sonnet 5 | $0.00016 | $0.00141 |
| Haiku 4.5 | $0.00008 | $0.00071 |
Grade A, and why
agdr-decide 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 6d 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
A licence we could not identify
The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.
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.
- 6d ago First seen · 109 lines · 78 tokens per session scan A fddb91988fb1
agdr-decide is a skill published in the GitHub repository me2resh/agent-decision-record (46 stars, last pushed 29d ago), with no licence file. It adds 78 tokens to every session and 705 once invoked, about $0.0004 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 skills, from other repositories
architecture-paradigms
Selects and routes to the right architecture paradigm. Use when choosing patterns for a new system or comparing trade-offs before making architecture decisions.
init-workspace-documentation
Skill "init-workspace-documentation" from griddynamics/rosetta, covering agent memory.md, agent memory, preventive rules, what worked and what failed.
system-design-patterns
Architecture patterns (monolith, microservices, CQRS, event-driven, api-gateway, scalability), ADR methodology, trade-off analysis, fitness functions, and deterministic ADR completeness scoring via executable script. Use proactively when making or reviewing significant architectural decisions, writing or auditing…
decision-backfill
Use when auditing an existing codebase, documentation set, plans, RFCs, or git history for architecture decisions that were made but never recorded as ADRs, and when triaging potential records before drafting them.
decision-memory
Use when planning, designing, reviewing, or changing code in a repository that keeps ADRs (usually docs/adr) — to load the decisions that already govern the work, check a plan or diff against them, or record a new decision. Also use when a choice feels already-settled and you cannot find where it was settled.
drift-agent-prompt-authoring
Drift-spezifischer Workflow zum Erstellen und Verbessern von Agent-Prompts unter .github/prompts/. Verwenden bei neuen .prompt.md-Dateien, bei der Schärfung von Evaluierungs-Prompts, bei der Trennung zwischen internem Prompt und Field-Test-Prompt sowie bei der Ausrichtung auf Drift-Policy und Shared Partials.…