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/initialneil/project-with-reflect/register-projectgit clone --depth 1 https://github.com/initialneil/project-with-reflectWhat 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 | $0.00014 | $0.00389 |
| Opus 5 | $0.00007 | $0.00195 |
| Sonnet 5 | $0.00003 | $0.00078 |
| Haiku 4.5 | $0.00001 | $0.00039 |
Grade A, and why
register-project 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 2d 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.
What it actually says
Run the register-project action of the project-with-reflect skill with arguments: $ARGUMENTS
The user describes the project in plain language — you translate it into the script's flags. They
should never have to type --remote / --root / :role themselves. From $ARGUMENTS extract: the
project name, its path(s), whether the code is local or remote (cues like "on the gpubox
server", "it's on <host>", a user@host:/path), and any extra repos it spans ("also uses the
dataset repo at …"). Only AskUserQuestion for what's genuinely missing or ambiguous —
workstream_mode (worktree|in-repo|logical), whether to import existing docs. (Project state always lives
centrally — project-with-reflect is personal memory; there is no in-repo state mode.)
Then read the skill's SKILL.md and run its register-project steps:
- If the project is remote and its host isn't a registered connection yet, register it first
(
register-machine <host>— point the user at a key-basedHostblock in~/.ssh/config). - Run
scripts/register-project.sh <name> <primary-path> [workstream_mode], adding--remote <connection>for a remote project and a repeatable--root <path>[:role]per extra root. These flags are the deterministic interface you fill in from the description — not user-facing.
Report the new /<name> command, and offer /<name> bootstrap to seed it from existing docs.
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.
- 2d ago First seen · 23 lines · 14 tokens per session scan A 6d852a86966e
register-project is a command published in the GitHub repository initialneil/project-with-reflect (13 stars, last pushed 14d ago), licensed MIT. It adds 14 tokens to every session and 389 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 2026-08-30.
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.
constitution
Create or update the project constitution from interactive or provided principle inputs.
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.