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 skills add DemonDamon/AgenticX --skill feature-loopgit clone --depth 1 https://github.com/DemonDamon/AgenticXWrote 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/demondamon/agenticx/feature-loop)<a href="https://agentmods.dev/skills/demondamon/agenticx/feature-loop"><img src="https://agentmods.dev/badge/skills/demondamon/agenticx/feature-loop/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/demondamon/agenticx/feature-loop"><img src="https://agentmods.dev/badge/skills/demondamon/agenticx/feature-loop.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00024 | $0.00763 |
| Opus 5.5 | $0.00010 | $0.00305 |
| Sonnet 5.5 | $0.00005 | $0.00153 |
| Haiku 4.5 | $0.00002 | $0.00076 |
Grade A, and why
feature-loop 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 1mo 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- feature-loop — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 61 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Feature Loop
Use when session_mode == feature_loop and the project is past the Initializer phase (system prompt will say "Coding 阶段").
Iron rules
- One feature per session. Multiple
in_progressfeatures are forbidden by the store; do not bypass. - Always verify before commit.
feature_completerejects features that have not been promoted toverifiedviaverify_run. - Keep the branch mergeable. Each commit must compile, pass
verify.yaml, and not depend on uncommitted local state.
Loop
- Sync from disk. Call
project_statusfirst thing every session — it readsfeature_list.json/status.json/progress.mdand reseeds your understanding from the single source of truth. - Pick a feature.
- If
status.active_feature_idis already set, resume that one (the prompt block will tell you). - Otherwise call
feature_selectwith no arguments to auto-pick the highest-priority pending feature with satisfied dependencies, or passfeature_idwhen the user names one.
- If
- Implement using code_dev phases (Explore → Read → Author):
- Explore with
code_outline,grep, optionalcode_search. - Read with
file_readslices (start/end line). Track files you have read in scratchpad. - Author with
file_writeskeletons first, then section-by-section appends.
- Explore with
- Run the gate. Call
verify_run feature_id=<id>. If any step fails:- Do not call
feature_complete. - Log a
progress_appendwith the failing step name and root cause. - Decide: fix and rerun
verify_run, or escalate to the user with the specific failure.
- Do not call
- Commit via shell.
Capture the resulting sha (git add -A git commit -m "feat(<feature_id>): <one-line summary>"git rev-parse HEAD). - Promote to committed. Call
feature_complete feature_id=<id> commit_sha=<sha>. The store writes an immutable archive snapshot under.agx/project/archive/feature_<id>.json. - Decide next step. Either call
feature_selectfor the next feature in the same session, or stop and tell the user the loop closed cleanly.
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.
- 1mo ago First seen · 61 lines · 24 tokens per session scan A b60149821ba2
feature-loop is a skill published in the GitHub repository DemonDamon/AgenticX (460 stars, last pushed yesterday), licensed Apache-2.0. It adds 24 tokens to every session and 763 once invoked, about $0.0001 per session on Opus 5.5. 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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