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/demondamon/agenticx/project-initializernpx skills add DemonDamon/AgenticX --skill project-initializergit clone --depth 1 https://github.com/DemonDamon/AgenticXWhat 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 | $0.00034 | $0.00620 |
| Opus 5 | $0.00017 | $0.00310 |
| Sonnet 5 | $0.00007 | $0.00124 |
| Haiku 4.5 | $0.00003 | $0.00062 |
Grade A, and why
project-initializer 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.
How it starts
The opening of the file, as written. The whole thing — 51 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Project Initializer
Use exactly once per project, when session_mode == feature_loop and .agx/project/ does not yet exist (system prompt will say "Initializer 阶段").
Inputs
- A spec markdown, GitHub issue, or natural-language feature description.
- The repo root (
workspace_diror first non-default taskspace).
Steps
- Read the spec end-to-end. Use
file_readif the user pointed at a file, otherwise capture the user's message as the source of truth. - Decompose into ≥ 5 deliverables. Each feature must:
- have a stable
id(kebab-case, ≤ 32 chars), - be independently mergeable (its commit can land on main without breaking others),
- declare 1–3 concrete
acceptance_criteria(observable behavior, not implementation steps), - declare
depends_ononly for hard ordering constraints, - get an integer
priority(lower = sooner; reserve 100 for "later").
- have a stable
- Call
project_initwith the full feature list. The tool writesfeature_list.json, seedsstatus.jsonwithphase=initialize, and drops templateinit.sh+verify.yaml. - Customize
init.shviabash_exec(orfile_writewith the diff path =.agx/project/init.sh):- install language runtime / package manager dependencies,
- apply migrations / generate seed data,
- must be idempotent (running twice on the same machine should not break anything).
- Customize
verify.yamlwith the project's real test/lint commands. Keep thebootstrapstep that runsinit.sh. - Smoke-run with
verify_run(nofeature_id) to confirm the initial gate is green on a clean checkout. - Commit the harness files via
bash_exec:
Keep this commit small — only harness files, no business code.git add .agx/project init.sh verify.yaml git commit -m "chore(project): initialize harness with N features" - Append a closing progress note with
progress_append(e.g."[initialize-done] commit=<sha> features=N") and tell the user the project is ready for a Coding session.
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 · 51 lines · 34 tokens per session scan A ebe84b87e1d5
project-initializer is a skill published in the GitHub repository DemonDamon/AgenticX (219 stars, last pushed 2d ago), licensed Apache-2.0. It adds 34 tokens to every session and 620 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 2026-08-30.
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