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 Ezra144israel/governed-agent-skills --skill portable-adaptive-planninggit clone --depth 1 https://github.com/Ezra144israel/governed-agent-skillsWrote 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/ezra144israel/governed-agent-skills/portable-adaptive-planning)<a href="https://agentmods.dev/skills/ezra144israel/governed-agent-skills/portable-adaptive-planning"><img src="https://agentmods.dev/badge/skills/ezra144israel/governed-agent-skills/portable-adaptive-planning/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/ezra144israel/governed-agent-skills/portable-adaptive-planning"><img src="https://agentmods.dev/badge/skills/ezra144israel/governed-agent-skills/portable-adaptive-planning.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00107 | $0.00735 |
| Opus 5.5 | $0.00043 | $0.00294 |
| Sonnet 5.5 | $0.00021 | $0.00147 |
| Haiku 4.5 | $0.00011 | $0.00073 |
Grade A, and why
portable-adaptive-planning 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 1mo 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 — 88 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Portable adaptive planning
Keep a compact Plan Capsule, not the planning transcript, for material work.
Plan Capsule
PLAN <id>: DRAFT | CHALLENGE-READY | FINAL
AS OF <latest operator instruction accounted for>
DEPTH: LIGHT | STANDARD | DEEP
ASKED
<operator's words that define the outcome>
GOAL
<accepted restatement>
DELIVERABLE
<what will exist>
PLAN
1. <step with a checkable completion condition>
2. <step with a checkable completion condition>
DONE
<smallest observable acceptance condition>
Add SOURCE HOME, BOUNDARIES, or OPEN only when they carry load-bearing information.
Copy ASKED from the operator. A continuation (proceed, yes) keeps ASKED and advances AS OF. A changed outcome replaces ASKED, updates the plan, and is read back.
Readback
Show the full current capsule when a load-bearing part of the plan changes, before challenge, on restore, and before final closeout. Append only applicable temporary sections:
CHANGED
- <changed plan state>
ADDED
- <new agent-added scope or requirement>
DROPPED
- <operator-requested item that disappeared or changed meaning>
Do not persist those temporary sections after the operator has seen them.
Depth and challenge
LIGHT: bounded, familiar, reversible work. No challenge by default.STANDARD: several meaningful decisions or moderate uncertainty. Challenge when a load-bearing question remains, the operator asks, or error cost warrants it.DEEP: architecture, broad blast radius, authority, safety, recovery, migration, expensive error, or major uncertainty. Challenge by default unless the operator skips it.
Raise depth when stakes rise. Read back every depth change.
Restore
Before continuing restored planning or execution:
- Reproduce the latest complete capsule.
- Verify that
AS OFincludes the current operator instruction. - Show the capsule readback before any mutation or execution.
If the capsule is complete, exact, and current, continue after the readback. Do not ask for another confirmation only because a session boundary occurred.
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.
- 1mo ago First seen · 88 lines · 107 tokens per session scan A e8b0b213fa5b
portable-adaptive-planning is a skill published in the GitHub repository Ezra144israel/governed-agent-skills (22 stars, last pushed 1mo ago), licensed MIT. It adds 107 tokens to every session and 735 once invoked, about $0.0004 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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