Getting it into your agent
This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.
/plugin marketplace add rjmurillo/ai-agents/plugin install project-toolkitWrote 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/rjmurillo/ai-agents/autoplan)<a href="https://agentmods.dev/skills/rjmurillo/ai-agents/autoplan"><img src="https://agentmods.dev/badge/skills/rjmurillo/ai-agents/autoplan/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/rjmurillo/ai-agents/autoplan"><img src="https://agentmods.dev/badge/skills/rjmurillo/ai-agents/autoplan.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, 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 150 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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 | $0.00077 | $0.04183 |
| Opus 5.5 | $0.00031 | $0.01673 |
| Sonnet 5.5 | $0.00015 | $0.00837 |
| Haiku 4.5 | $0.00008 | $0.00418 |
Grade A, and why
autoplan 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 today.
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 — 339 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Autoplan
One lazy entry point for the whole catalog. Classify the request, route it, apply defaults, and only stop for decisions that are genuinely the user's.
Identity
This router's stable identity is project-toolkit:autoplan. /autoplan
stays the local alias inside this repository; nothing is renamed
(REQ-039 criterion 10, DESIGN-037).
| Context | Name the model sees | Contract selected |
|---|---|---|
This repository, .claude/skills |
autoplan |
this router |
| Packaged plugin | project-toolkit:autoplan |
this router |
| Mixed catalog with gstack | project-toolkit:autoplan and gstack:autoplan |
router by qualified name; gstack's own review pipeline only by its qualified name |
gstack ships an unrelated skill also named autoplan (a four-phase
CEO/design/engineering/DX review pipeline). Never invoke a bare autoplan in
a mixed catalog expecting this router; use the qualified name. This router
never selects the gstack pipeline by an unqualified request, because that
skill carries no intents for this router's long-tail resolver to match.
Triggers
| Trigger Phrase | Operation |
|---|---|
/autoplan followed by the request text |
Classify and route the request |
do it |
Classify and route the current request |
handle it |
Classify and route the current request |
figure this out |
Classify, then report the route before running |
your call |
Classify, then report the route before running |
The router also fires implicitly. Any concrete request that names no skill routes through the table below instead of defaulting to a bare answer, for example "why is CI failing", "investigate the flaky test", or "redo #1723 properly".
These phrases are grounded in this repo's own Copilot and Claude session history. The dominant real openers are continue, proceed, investigate, fix the X, do it, and handle it, not ceremonial delegation phrases. Continue and proceed are deliberately excluded as hard triggers: they mean resume the in-flight work, so they route to whatever is already running rather than re-classifying from scratch.
What ships with it
4 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.
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.
- today Changed db3e522c53e7
- 6d ago Changed · -1 lines e198d0b35e39
- 20d ago Changed · +2 lines 26bc503a4171
- 21d ago Changed · +7 lines adb50cadbc5d
- 22d ago Changed · +101 lines 24f616d68381
- 24d ago Changed 5bebe00c4402
- 25d ago Changed · +2 lines 1633978e446c
- 1mo ago Changed · +5 lines b8000fe004cf
- 1mo ago Changed 759451d7b74e
- 1mo ago First seen · 223 lines · 77 tokens per session scan A 96706c2d86a9
autoplan is a skill published in the GitHub repository rjmurillo/ai-agents (48 stars, last pushed today), licensed MIT. It adds 77 tokens to every session and 4,183 once invoked, about $0.0003 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 2026-09-03.
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