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 commands/zhyx12/projtool/plan-nextgit clone --depth 1 https://github.com/zhyx12/projtoolWhat 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 | $0.00041 | $0.00619 |
| Opus 5 | $0.00020 | $0.00309 |
| Sonnet 5 | $0.00008 | $0.00124 |
| Haiku 4.5 | $0.00004 | $0.00062 |
Grade A, and why
plan-next 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 yesterday.
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.
What it actually says
You are running the user's /plan-next command. Your job is to PROPOSE the
next experiments from evidence; the user's job is to DECIDE. Never launch
anything from this command without an explicit go.
Steps
-
Establish scope: which experiment/topic is being planned? If unclear, ask.
-
Read the evidence, in this order:
docs/plans/<topic>.mdif it exists (the standing plan);docs/exp/<slug>/findings.md(established results + failed attempts — never propose something the Failed Attempts table already rules out);docs/exp/<slug>/journal.mdandmcp__projtool__compare_runs(experiment_id=...) for the actual numbers;- the newest reports under
docs/exp/<slug>/anddocs/summary/.
-
Ensure the plan document exists at
docs/plans/<topic>.md. If absent, create it with this skeleton (in the docs repo):# Plan — <topic> ## Hypothesis <what we believe and want to test> ## Decision criteria <metric + threshold that settles it, e.g. "adopt if val_acc > baseline + 0.5pt"> ## Experiment matrix | id | config / command | seeds | status | result | |---|---|---|---|---| ## Next up (proposed — human approves before launch) ## Decided / archived -
Propose 1-3 next experiments, each with:
- what it tests (tie it to the Hypothesis / an Open question in findings);
- exact shape: config file(s) or
run_scriptcommand, seeds, GPU spec, and a rough cost (hours × instance); - the decision criterion it feeds. Write them into the plan's "Next up" section and show the user.
-
Stop and ask the user to pick. After they choose:
- queue config sweeps via
mcp__projtool__start_runs(configs=[...]); - single/vendored jobs via
start_training/run_script; - update the matrix rows to
status=running, and commit the plan file in the docs repo (git add docs/plans/<topic>.md && git commit).
- queue config sweeps via
-
When results land later (finalize + journal), a future
/plan-nextpass moves matrix rows tostatus=donewith the result and prunes "Next up".
Keep the plan short-lived and honest: it is a working document, not a proposal to impress anyone. One page max.
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.
- yesterday First seen · 60 lines · 41 tokens per session scan A e1877b25b6fc
plan-next is a command published in the GitHub repository zhyx12/projtool (1 stars, last pushed 18d ago), licensed MIT. It adds 41 tokens to every session and 619 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 commands, from other repositories
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.
converge
Assess the current codebase against the feature's spec, plan, and tasks, then append any remaining unbuilt work as new tasks to tasks.md so implement can complete it.
implement
Execute the implementation plan by processing and executing all tasks defined in tasks.md.