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/photostructure/coding-skills/replannpx skills add photostructure/coding-skills --skill replangit clone --depth 1 https://github.com/photostructure/coding-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/photostructure/coding-skills/replan)<a href="https://agentmods.dev/skills/photostructure/coding-skills/replan"><img src="https://agentmods.dev/badge/skills/photostructure/coding-skills/replan.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 | $0.00022 | $0.00901 |
| Opus 5 | $0.00011 | $0.00451 |
| Sonnet 5 | $0.00004 | $0.00180 |
| Haiku 4.5 | $0.00002 | $0.00090 |
Grade A, and why
replan 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 3d 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 — 106 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Replan
Documented in depth: Claude picks the first idea that works. Make it pick the best one.
You are going to replan — an iterative process of designing, critiquing, and refining a plan.
Coding agents tend to commit to the first workable approach they find. For design decisions with high switching costs (architecture, data models, API surfaces), seek the best approach rather than the first one that clears the bar. This skill forces multiple structured critiques before settling the design.
Process
1. Understand & Clarify
- Read relevant code, documentation, and constraints
- State any assumptions you're making
- Ask clarifying questions before proceeding — don't build an elaborate plan on a misunderstood requirement
2. Initial Plan
Design your first approach, considering requirements and existing solutions. Expect it to be imperfect.
3. Critique
Generate thorough, specific critiques of your plan:
- Does it balance simplicity with good engineering?
- Is it maintainable, testable, DRY, scalable?
- Scrutinize for "hand-wavy" aspects — don't assume how things work, study the code
- For novel libraries/APIs, validate assumptions with web searches
- Note uncertainties as risks
Vague critiques like "this could be more robust" are useless. Aim for "this assumes the client handles reconnection, but I haven't verified that."
4. Alternatives
Brainstorm alternatives that address the specific weaknesses found in step 3. Goals:
- Simplify the plan
- Reduce complexity and risk
- Improve code quality and maintainability
5. Develop Best Alternative
Select the most promising alternative and flesh it out to the same level of detail as the original. A hand-wavy alternative that "sounds simpler" isn't a real comparison.
6. Iterate
Repeat steps 3-5 at least three times, asking for user feedback at each iteration. The checkpoints aren't just for steering — they're where the user injects context you can't grep for: product goals, domain constraints, recent team decisions, upcoming migrations.
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.
- 3d ago First seen · 106 lines · 22 tokens per session scan A 4fa210f3f48f
replan is a skill published in the GitHub repository photostructure/coding-skills (3 stars, last pushed 3d ago), licensed MIT. It adds 22 tokens to every session and 901 once invoked, about $0.0001 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
decision-records
Creates, supersedes and validates decision records (ADRs) against the convention a collection already follows, instead of imposing a published one. Use when the user wants to record a decision, write an ADR, supersede an existing decision, audit or lint a decisions folder, check that an ADR index is in sync, or asks…
github-pr-review
Handles PR review comments and feedback resolution. Use when user wants to resolve PR comments, handle review feedback, fix review comments, address PR review, check review status, respond to reviewer, verify PR readiness, review PR comments, analyze review feedback, evaluate PR comments, assess review suggestions, or…
privacy-guard
Prevents private infrastructure details (node hostnames, internal project names, local usernames and personal emails, absolute home paths, private and VPN IP ranges) from leaking into public repositories through commits, PRs, docs or release artifacts. Use when working in a public or soon-to-be-public repo, before…
github-pr-creation
Creates GitHub Pull Requests with automated validation and task tracking. Use when user wants to create PR, open pull request, submit for review, or check if ready for PR. Analyzes commits, validates task completion, generates Conventional Commits title and description, suggests labels. NOTE - for merging existing…
github-pr-merge
Merges GitHub Pull Requests after validating pre-merge checklist. Use when user wants to merge PR, close PR, finalize PR, complete merge, approve and merge, or execute merge. Runs pre-merge validation (tests, lint, CI, comments), confirms with user, merges with proper format, handles post-merge cleanup.
git-commit
Creates git commits following Conventional Commits format with type/scope/subject. Use when user wants to commit changes, create commit, save work, or stage and commit. Enforces project-specific conventions from CLAUDE.md.