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 mirkobozzetto/arsenal --skill proposegit clone --depth 1 https://github.com/mirkobozzetto/arsenalWrote 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/mirkobozzetto/arsenal/propose)<a href="https://agentmods.dev/skills/mirkobozzetto/arsenal/propose"><img src="https://agentmods.dev/badge/skills/mirkobozzetto/arsenal/propose/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/mirkobozzetto/arsenal/propose"><img src="https://agentmods.dev/badge/skills/mirkobozzetto/arsenal/propose.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 | $0.00025 | $0.00672 |
| Opus 5.5 | $0.00010 | $0.00269 |
| Sonnet 5.5 | $0.00005 | $0.00134 |
| Haiku 4.5 | $0.00003 | $0.00067 |
Grade A, and why
propose 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 26d 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 — 64 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Propose
Gather only the context needed to answer the design question. Prefer the smallest sufficient format: short for a bounded reversible choice, standard for one system, full for a genuine cross-system design. No format interview when the request already determines the appropriate size.
Use references/proposal-template.md for stable section numbers and artifact shape. Write problem, real alternatives (including status quo when relevant), tradeoffs, design, risks, recommendation and runnable implementation tasks. Do not manufacture alternatives, diagrams, metrics or verification layers to fill a template. Research only unresolved external questions.
Interview
Without --auto, interview the user before drafting: problem, scope, goals/non-goals, alternatives direction, design choices. One question per message, in plain text, then wait for the answer. Draw questions from references/interview-questions.md; skip one only when the request already answers it. Never infer an answer the user can give. Under --auto, infer from code and the request and ask only about a blocking decision.
Review the draft yourself. An independent review is optional and requires explicit user consent, never merely omission of --no-review. Retain supported findings only. Leave status Draft or Review until the user explicitly accepts the proposal; writing it is not implementation approval.
Keep the existing docs/proposals/-/PROPOSAL.md layout and links to
a source brief. Do not supersede that brief until the design is accepted.
On acceptance, record the Git base and branch in the frontmatter
(steps/step-09-finalize.md) so ship branches without asking again.
Render via scripts/render.py only on --html or request. Do not launch ship,
open a browser, create an index, or start another agent just to finish.
Arsenal handoff
When called by Arsenal, return the proposal, status and unresolved decisions to Arsenal. Do not launch ship yourself. Explicit user acceptance remains required before Arsenal can consume the proposal for implementation, even when the original request was to build the feature.
What ships with it
13 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- references/interview-questions.md 4.0 KB
- references/proposal-template.md 6.0 KB
- scripts/render.py 8.6 KB runs code
- steps/step-00-init.md 410 B
- steps/step-01-context.md 421 B
- steps/step-02-problem.md 432 B
- steps/step-03-alternatives.md 462 B
- steps/step-04-design.md 485 B
- steps/step-05-risks.md 403 B
- steps/step-06-recommendation.md 434 B
- steps/step-07-impl-plan.md 429 B
- steps/step-08-review.md 461 B
- steps/step-09-finalize.md 857 B
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.
- 26d ago Changed · +8 lines 9f5a07fe2033
- 1mo ago Changed · +2 lines c9cd124c3369
- 1mo ago Changed · +9 lines 4f5289010e03
- 1mo ago Changed · +7 lines bb6208152638
- 1mo ago Changed · -74 lines · +25 tokens per session 5202c9b66308
- 1mo ago First seen · 112 lines · 0 tokens per session scan A e00c44efbe55
propose is a skill published in the GitHub repository mirkobozzetto/arsenal (22 stars, last pushed 8d ago), licensed MIT. It adds 25 tokens to every session and 672 once invoked, about $0.0001 per session on Opus 5.5. 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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