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 stefaniuk/loadout --skill executing-plansgit clone --depth 1 https://github.com/stefaniuk/loadoutWrote 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/stefaniuk/loadout/executing-plans)<a href="https://agentmods.dev/skills/stefaniuk/loadout/executing-plans"><img src="https://agentmods.dev/badge/skills/stefaniuk/loadout/executing-plans/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/stefaniuk/loadout/executing-plans"><img src="https://agentmods.dev/badge/skills/stefaniuk/loadout/executing-plans.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 | $0.00035 | $0.05000 |
| Opus 5.5 | $0.00014 | $0.02000 |
| Sonnet 5.5 | $0.00007 | $0.01000 |
| Haiku 4.5 | $0.00003 | $0.00500 |
Grade A, and why
executing-plans 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 25d 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.
This is a copy
88% identical to executing-plans — 10 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 384 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Workflow Mode Guard
Use this skill only when the active local workflow mode is superpowers.
Before proceeding:
- Run
./scripts/hooks/workflow-mode.sh status. - If the active mode is
speckit, stop and tell the user to switch withmake workflow-use mode=superpowersor continue with the Spec Kit lifecycle instead. - Do not mix Superpowers workflow skills with
speckit-*commands in the same session or worktree.
Executing Plans
Execute the plan yourself, task by task, in this session: no implementer subagent per task, no reviewer per task. One fresh-context review of the whole branch at the end.
Why inline: Subagent-driven development pays for a fresh implementer and a fresh reviewer on every task, each re-reading the codebase from zero. Inline execution pays for one context (yours) plus one reviewer at the end. What it gives up is a fresh context per task and a second pair of eyes per task. This skill keeps what those two things bought, by other means: the brief is the spec, the ledger is your memory, TDD is the per-task gate, and the final reviewer is the second pair of eyes.
Core principle: The plan already did the thinking. Execute it exactly, prove each step with a test you watched fail and then pass, and leave a record that survives your own forgetting.
Narration: between tool calls, narrate at most one short line — the ledger and the tool results carry the record.
Continuous execution: Do not pause to check in with your human partner between tasks. They chose inline execution to spend less, not to answer "should I continue?" after every task. Execute all tasks from the plan without stopping.
Rulings, not stalls. Conflicts, ambiguities, plan defects — decide them.
The spec is the binding authority, the plan is its argument, and your
judgment settles what neither answers. Record every decision in the ledger
as Ruling: <what you decided> — <why> — <what it costs if wrong>, and keep
going. Deviating from the plan without a ledgered ruling is a decision made
in secret.
What ships with it
2 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.
- 25d ago Changed · +309 lines · +13 tokens per session 369500a4a0b3
- 1mo ago First seen · 75 lines · 22 tokens per session scan A 112cb7691cdb
executing-plans is a skill published in the GitHub repository stefaniuk/loadout (1 stars, last pushed 15d ago), licensed MIT. It adds 35 tokens to every session and 5,000 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 88% identical to executing-plans, differing in 10 lines, and is treated as a copy.
Other skills, from other repositories
artifact-conventions
Defines preservation, format, and section rules for SDD specification artifacts (spec.md, plan.md, tasks.md, checklists). Use when editing feature-artifact files under specs/ / to prevent accidental corruption of cross-referenced IDs, priorities, and gating state.
plan-authoring
Reference material for writing implementation plans (technical context, architecture decisions, data models, API contracts, project-instructions alignment). Loaded on demand by plan-feature; not directly invokable.
task-generation
Reference material with the canonical task-format grammar and decomposition rules for plan-to-tasks expansion. Loaded on demand by generate-tasks; not directly invokable.
adr-authoring
Defines the canonical MADR format, lifecycle rules, numbering policy, and SAD catalog contract for standalone ADRs under specs/adrs/.
markdown-compression
Safely compresses narrative Markdown using deterministic compaction plus validator checks. Only for allowlisted and gated artifacts.
implementation-standards
Reference material with coding standards (defensive coding, error handling, testing patterns). Loaded on demand by the Developer sub-agent (.github/agents/developer.md); not directly invokable.