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 juliusz-cwiakalski/agentic-delivery-os --skill plan-decisiongit clone --depth 1 https://github.com/juliusz-cwiakalski/agentic-delivery-osWrote 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/juliusz-cwiakalski/agentic-delivery-os/plan-decision)<a href="https://agentmods.dev/skills/juliusz-cwiakalski/agentic-delivery-os/plan-decision"><img src="https://agentmods.dev/badge/skills/juliusz-cwiakalski/agentic-delivery-os/plan-decision/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/juliusz-cwiakalski/agentic-delivery-os/plan-decision"><img src="https://agentmods.dev/badge/skills/juliusz-cwiakalski/agentic-delivery-os/plan-decision.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 findings, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Excessive Agency · line 11 Skill selects an external model or provider that may use a different account or billing plan than the operator expects. Undisclosed model switches can cause unexpected cost or quota consumption.Fix: Remove the model/provider override or disclose it prominently and require explicit operator approval before invoking an external coding CLI or billed model.
- low Excessive Agency · line 162 Skill's behavior or capabilities extend beyond its stated purpose. Scope creep allows an agent to perform actions unrelated to its documented functionality, increasing the attack surface.Fix: Limit the skill's scope to its documented purpose. Remove instructions that enable the agent to perform actions outside its stated functionality.
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 | $0.00043 | $0.07370 |
| Opus 5 | $0.00022 | $0.03685 |
| Sonnet 5 | $0.00009 | $0.01474 |
| Haiku 4.5 | $0.00004 | $0.00737 |
Grade A, and why
plan-decision 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 — 512 lines — stays where its author put it; the contents beside it link to each section on GitHub.
- Triages the decision (record-worthiness; R0 escape hatch), classifies it on four axes (type × domain tags × archetype × conditions), selects a rigor profile (R0–R3 + emergency overlay), and assigns decision rights (DACI) — then plans at a depth scaled by rigor.
- Discovers or confirms the decision record number (e.g. 0007) by scanning existing records in doc/decisions/ for the relevant type (ADR, PDR, TDR, BDR, ODR; defaults to ADR only when type is genuinely unspecified).
- Orients itself in the current repository and high-level documentation under doc/spec/, doc/overview/, doc/changes/, and doc/contracts/.
- Systematically elicits and refines all information needed by /write-decision (context, problem framing, hard requirements (constraints), decision drivers, alternatives, trade-offs, assumptions, verification criteria, etc.), without generating the decision record file itself.
- Applies decision-making discipline (clarify problem → classify → rigor → rights → confirm drivers → explore options → decide) without exposing internal mechanics unless asked.
- Concludes with a compact, machine- and human-friendly planning summary block plus a clear recommendation to invoke
/write-decision <number>and, where relevant, to link back to related changes (workItemRef).
This command never writes files or modifies Git state; it operates purely via conversational planning and read-only repository inspection. See doc/guides/decision-making.md for the full decision process.
/plan-decision [] [free-text context]
Examples:
-
/plan-decision
→ Auto-discover next number from doc/decisions/ for the relevant type, then ask what decision we are shaping. -
/plan-decision 12
→ Treat 12 as the intended record number (normalized internally to 0012), then start refinement questions. -
/plan-decision 0042 Choose data sharding strategy for multi-tenant billing
→ Use 0042 as the number and seed initial understanding from the idea text.
Notes:
- The command always operates within the current repository only (single codebase per session).
- If multiple decision sessions are active in the same conversation, clearly separate them by record number and avoid mixing context.
All other planning inputs (context, problem framing, drivers, alternatives, trade-offs, verification criteria, etc.) must be elicited interactively from the user and/or derived from existing documentation by summarization. No unstated assumptions may be invented. $ARGUMENTS
<number_resolution>
Primary goal: determine the canonical numeric record number (zero-padded to exactly 4 digits) for this planning session, for the chosen decision type.
Resolution rules:
-
If adrNumberHint is provided:
- Validate that it is composed of digits only.
- Normalize to zeroPad4 = numberHint left-padded with zeros to length 4 (e.g. 7 → 0007; 123 → 0123).
- Treat this as the proposed record number; ask the user to confirm or override.
-
If no numberHint:
- Discover existing decision records by scanning for files matching:
doc/decisions/<TYPE>-*-*.md(where TYPE defaults to ADR only when the decision type is genuinely unspecified). - For each match, parse the numeric segment immediately after the type prefix (e.g. ADR-0001-short-title.md → 1, TDR-0042-something.md → 42).
- If no existing records of this type are found, propose
0001as the first number. - Otherwise, let maxExisting be the highest parsed number; propose candidate = maxExisting + 1.
- Normalize candidate to zeroPad4 as above.
- Present the candidate to the user as the default (e.g. "Based on existing ADRs, I propose using number 0007."); allow the user to accept or override with any other integer.
- Discover existing decision records by scanning for files matching:
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 · 512 lines · 43 tokens per session scan A 8d913f5728a6
plan-decision is a skill published in the GitHub repository juliusz-cwiakalski/agentic-delivery-os (38 stars, last pushed 2d ago), licensed MIT. It adds 43 tokens to every session and 7,370 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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