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 SNIKO/agent-skills --skill swe-plangit clone --depth 1 https://github.com/SNIKO/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/sniko/agent-skills/swe-plan)<a href="https://agentmods.dev/skills/sniko/agent-skills/swe-plan"><img src="https://agentmods.dev/badge/skills/sniko/agent-skills/swe-plan.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 5.1 | $0.00037 | $0.01465 |
| Opus 5 | $0.00018 | $0.00732 |
| Sonnet 5 | $0.00007 | $0.00293 |
| Haiku 4.5 | $0.00004 | $0.00146 |
Grade A, and why
swe-plan 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 7d 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 — 105 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Pipeline
swe-shape → swe-spec → [swe-plan] → [swe-worktree] → swe-execute → swe-review, with swe-research available at any point.
Each stage runs in its own session: the user invokes one skill, reviews the artifact, clears the context, then invokes the next with the artifacts as input. Assume no memory of other stages beyond the files named below.
- This stage: optional. Decide delivery order and verification boundaries. Most changes skip it.
- Reads:
spec.html(the approved design and contracts, written byswe-spec) andbrief.md(the approved problem and acceptance criteria, written byswe-shape). - Writes:
plan.md, or nothing when the spec is one coherent slice. - Next: the user runs
swe-worktreeorswe-execute. Do not invoke either.
Purpose
Decide delivery order and verification boundaries for complex execution. A plan coordinates specified work; it does not repeat design or narrate how to code it.
A plan is not a Markdown restatement of the spec. spec.html remains the contract, and swe-execute reads it whether or not a plan exists. The plan's only job is to say what is built in what order, how each step is verified, and which spec sections each step needs.
Inputs and Workspace
Read .swe/<change>/spec.html — the canonical contract, at whatever depth each section reached — using its table of contents to load only the sections that affect sequencing. Read brief.md when acceptance, dependencies, or risk require it, and the research reports either artifact links when they affect sequencing, feasibility, rollout, or an early risk-reduction slice. Infer the change directory only when unambiguous.
Write .swe/<change>/plan.md using plan.template.md. The plan is Markdown: it is a short list of slices consumed almost entirely by agents, with little to gain from rich rendering.
Workflow
- Decide whether to plan. Apply the planning threshold below — it is a gate, not a preference. If the spec is one coherent implementation slice, do not create
plan.md; report that execution can proceed directly from the spec. Most changes end here. - Identify delivery slices. Find the smallest set of completed, observable or independently risk-reducing outcomes. Prefer thin end-to-end slices over technical layers.
- Order by dependency and learning. Establish prerequisites, then prioritize early validation of expensive assumptions, integration risk, migration safety, and user-visible value.
- Preserve valid intermediate states. Every slice must leave the repository buildable, testable, and operationally safe under the specified compatibility strategy.
- Reference authoritative detail. Link each slice to the exact
spec.htmlsection ids it implements and the acceptance criteria it satisfies. Do not copy their contracts. - Define verification. Give runnable repository commands and observable results for each slice, including rollback or operational checks only where relevant.
- Check plan size. If more than roughly eight slices are needed, recommend splitting the change or introducing explicit phases rather than producing a giant plan.
- Complete, skip, or stop. Finish with exactly one of the outcomes in
Completion Criteria.
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.
- 7d ago First seen · 105 lines · 37 tokens per session scan A 81fd196c0c82
swe-plan is a skill published in the GitHub repository SNIKO/agent-skills (2 stars, last pushed 15d ago), licensed MIT. It adds 37 tokens to every session and 1,465 once invoked, about $0.0002 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.
Other skills, from other repositories
html-artifacts
Author the HTML for a plan artifact, dashboard iframe, or Slack attachment — structure, design plan, available runtime, theming, and craft. Read this before writing HTML for saveplan, outputiframe, or slackattachhtml.
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First-time analysis of a repository with no prior reviewer outcomes. Crawl historical merged-PR review feedback with the gh CLI (plus any preloaded samples), extract the team's review norms, and synthesize the initial per-repo review-style prompt. Use this for a cold-start repo; use continual-learning instead once the…
baby-sit
Monitor a GitHub pull request until CI is green, diagnose failures, and rerun only evidence-backed flaky GitHub Actions jobs.
continual-learning
Nightly refinement of an existing per-repo review-style prompt using this reviewer's own finding outcomes. Read confirmed (resolved-by-commit / thumbs-up) and dismissed (thumbs-down) findings, promote the bug patterns the team actually fixes, demote the false-positive patterns, reconcile against the current prompt…
oracle
Oracle second-model review: bundle prompts/files, debug, refactor, design.
latent-potential
First-principles, team-of-experts assessment of a software project that surfaces latent potential; underexploited assets, a sharper north star, missing high-leverage capabilities, better framing and messaging. Produces a prioritized, evidence-grounded report with cheap probes, a reframe candidate, a stop-doing list…