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/panda850819/verbs/decision-mapnpx skills add panda850819/verbs --skill decision-mapgit clone --depth 1 https://github.com/panda850819/verbsWrote 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/panda850819/verbs/decision-map)<a href="https://agentmods.dev/skills/panda850819/verbs/decision-map"><img src="https://agentmods.dev/badge/skills/panda850819/verbs/decision-map.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 | $0.00056 | $0.00486 |
| Opus 5 | $0.00028 | $0.00243 |
| Sonnet 5 | $0.00011 | $0.00097 |
| Haiku 4.5 | $0.00006 | $0.00049 |
Grade A, and why
decision-map 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 4d 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.
What it actually says
Decision Map
A Decision Map preserves multi-session decision fog. Ordinary ambiguity stays inside the automatic Grilling Session required by the repository Project Contract.
Create a map
- Read
AGENTS.md, apply the Brain First Rule, and name one destination. - Use
@lib/interview.mdto identify decisions whose answers depend on other decisions or evidence that cannot fit the current session. - If the Work Contract can be completed now, create no map; finish the current Grilling Session instead.
- Otherwise create
docs/briefs/{YYYY-MM-DD}-{slug}-map.mdwith the destination, confirmed context, and typed entries:research,prototype,grilling, ortask. Each entry names dependencies, status, and its completion evidence. - Stop after creation. Do not select or execute an entry in the same invocation.
Work a map
- Read the map index and only the notes required by one unblocked entry.
- Use the user-named entry, or ask the user to select one. Never schedule the frontier autonomously.
- Resolve that entry by type. Research writes cited facts; prototype invokes
prototype; grilling follows the Project Contract's Grilling Session;taskrecords a confirmed Work Contract without implementing it. - Write the result under
docs/briefs/{map-slug}/{NN}-{entry-slug}.md, update the map status and newly unblocked entries, then stop.
Completion
A run completes when one map is created or one selected entry has checkable
evidence and the map reflects its new frontier. Implementation remains a new,
human-selected coding task governed by AGENTS.md.
What ships with it
1 file 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.
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.
- 4d ago First seen · 53 lines · 56 tokens per session scan A 7bdcc018dcea
decision-map is a skill published in the GitHub repository panda850819/verbs (5 stars, last pushed 11d ago), licensed MIT. It adds 56 tokens to every session and 486 once invoked, about $0.0003 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 2026-08-31.
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