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.
git clone --depth 1 https://github.com/akougkas/wtf-pWrote 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/commands/akougkas/wtf-p/wtfp-plan-section)<a href="https://agentmods.dev/commands/akougkas/wtf-p/wtfp-plan-section"><img src="https://agentmods.dev/badge/commands/akougkas/wtf-p/wtfp-plan-section.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 | $0.00018 | $0.01116 |
| Opus 5 | $0.00009 | $0.00558 |
| Sonnet 5 | $0.00004 | $0.00223 |
| Haiku 4.5 | $0.00002 | $0.00112 |
Grade A, and why
wtfp:plan-section scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 7d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
This is a copy
94% identical to wtfp:execute-outline — 26 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 78 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Plan a section
@${PLUGIN_ROOT}/project/README.md @${PLUGIN_ROOT}/skills/wtfp-plan-section/SKILL.md @${PLUGIN_ROOT}/skills/wtfp-plan-section/references/actions.md
Record contract
Read: project://manifest, project://config, project://state, project://decisions, project://structure/outline, project://validations/*, project://sections/{section}, project://sections/{section}/context, project://sections/{section}/research, project://sections/{section}/summary, project://sources/{source}, project://evidence/{evidence}.
Produce: project://sections/{section}/plans/{plan} (create), project://validations/{validation} (create), project://checkpoints/{checkpoint} (create), project://sections/{section} (update), project://state (update).
Resolve every logical URI through the host adapter. Portable v1 JSON records are the source of truth: schema-validate before a write, preserve stable IDs, update revision and timestamps where required, and replace records atomically. Never pass a literal logical URI to a shell command or infer record state from a legacy Markdown control file.
Manuscript prose and supporting context, research, plan, review, summary, handoff, and deliverable artifacts retain their authored format (normally Markdown). Link them from the relevant v1 record; do not convert manuscript prose into project-state JSON.
Procedure
- Resolve one section record, load its linked context, research, evidence, decisions, and outline constraints, and enumerate the bounded
project://validations/*collection before any specialist dispatch. - Filter those records to candidates whose
subject_uriis exactlyproject://structure/outlineand whoseaction_idis exactlycreate-outline. A candidate is current only whenexecuted_at >= outline.updated_at. Because the v1 validation schema carries no outline revision or content hash, disclose that this timestamp test is a conservative freshness proxy. - Require exactly one current candidate and require its
statusto bepassed. Separately verify that the current outline and target section are consistent with all current locked and deferred author choices: honor locked choices and do not treat deferred choices as resolved. A missing, stale, ambiguous, or non-passing candidate, or a decision contradiction, blocks all specialist dispatch and every plan, section, state, or validation write. Only a recovery checkpoint may be proposed on this blocked path, and it may be written only after a complete record preview and explicit author approval. - Only after those prerequisites pass, delegate a bounded plan to
section-planner, then require a freshplan-checkerpass over claim coverage, dependencies, file scope, citations, and decision fidelity. - At confirm_plan, preview the plan and validation; on approval link the plan, update section status to planned, and reconcile state. Create a checkpoint for unresolved judgment instead of bypassing the required checker.
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 · 78 lines · 18 tokens per session scan A 20a545a7d9c0
wtfp:plan-section is a command published in the GitHub repository akougkas/wtf-p (19 stars, last pushed 7d ago), licensed MIT. It adds 18 tokens to every session and 1,116 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 94% identical to wtfp:execute-outline, differing in 26 lines, and is treated as a copy.
Other commands, from other repositories
retro
Reflect on the current research session and collect improvement suggestions.
setup_research_plan
Set up or start a research project.
checklist
Generate a custom checklist for the current feature based on user requirements.
clarify
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.
specify
Create or update the feature specification from a natural language feature description.
analyze
Perform a non-destructive cross-artifact consistency and quality analysis across spec.md, plan.md, and tasks.md after task generation.