feature

feature is a skill for Claude Code, Codex from aeonfun/aeon. It costs 46 tokens per session (8,482 once invoked), scanned C, original, MIT.

A GitHub repository work tool with modes for building features across watched repositories, improving one outside repository, or reviving a dormant one. A repository is a project hosted on GitHub; a pull request is a proposed change for review.

In plain words
What is it for?
Use it to ship feature pull requests, improve a chosen external repository, fix an open issue, or restart work on an inactive project.
Why use it?
It turns several kinds of repository maintenance into a defined workflow and keeps each change focused on one feature or issue.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions CLAUDE.md.

Needs its repository: it runs a file that does not travel with it, so clone the repository first. The line is ./scripts/feature-open-pr.sh covered "$REPO" "$BRANCH" [<issue number, when building an issue>].

Good fit Use it to ship feature pull requests, improve a chosen external repository, fix an open issue, or restart work on an inactive project.

Compare 6 skills from other repositories ↓
Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo
git clone --depth 1 https://github.com/aeonfun/aeon
agentmods
npx agentmods add skills/aeonfun/aeon/feature

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for feature

README.md
[![agentmods](https://agentmods.dev/badge/skills/aeonfun/aeon/feature/github.svg)](https://agentmods.dev/skills/aeonfun/aeon/feature)
Your own site
<a href="https://agentmods.dev/skills/aeonfun/aeon/feature"><img src="https://agentmods.dev/badge/skills/aeonfun/aeon/feature/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.

agentmods 80×15 button for feature

Your own site · 80×15
<a href="https://agentmods.dev/skills/aeonfun/aeon/feature"><img src="https://agentmods.dev/badge/skills/aeonfun/aeon/feature.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 46 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 8,482 The whole file, excluding the scripts and references it only reads on demand.
Security scan C 2 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 2 findings, up to high

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • high Prompt Injection · line 20
    Hidden instructions were detected in comments or invisible text. These could contain malicious directives. Manual review is recommended.
    Fix: Audit all comments and invisible characters. Remove any instructions that direct the agent to perform unauthorized actions. Use plain, reviewable content.
  • high Prompt Injection · line 337
    Hidden instructions were detected in comments or invisible text. These could contain malicious directives. Manual review is recommended.
    Fix: Audit all comments and invisible characters. Remove any instructions that direct the agent to perform unauthorized actions. Use plain, reviewable content.
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00046 $0.08482
Opus 5.5 $0.00018 $0.03393
Sonnet 5.5 $0.00009 $0.01696
Haiku 4.5 $0.00005 $0.00848

Measured 13d ago against content hash ba94f00ad616, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade C, and why

feature scanned grade C with 2 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 13d 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.

Recursive force deletehighDestructive command

rm -rf with a variable or a broad path is one typo away from removing the wrong tree.

rm -rf "$WORK_DIR"

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

- Fetch the canonical upstream text **straight to disk with `curl`** so the body never passes through model output — `curl -fsSL https://www.contributor-covenant.org/version/2/1/code_of_conduct/code_of_conduct.md -o CODE
Origin

Copies of this mod

1 near-identical copy found in the catalogue:

  • feature — 100% identical, 0 lines differ
skills/feature/SKILL.md · 616 lines

How it starts

The opening of the file, as written. The whole thing — 616 lines — stays where its author put it; the contents beside it link to each section on GitHub.

When the run prompt supplies a Workflow correlation ID, include the exact marker <!-- aeon-dispatch:<ID> --> in every PR body you create. This is a machine-checked chain receipt: do not alter, omit, or place it only in the final response.

${var} — Selector target[:arg] [--fix-issues], target ∈ {watched, external, dormant}. Empty or watched = build a feature on every watched repo (one PR each); external:<owner/repo> = one best enhancement on that external repo; dormant = revive the highest-scoring dormant repo. repair:<owner/repo#N>@<sha> is the dev-loop's bounded repair pass: update only that open PR at that exact reviewed SHA using the consumed review findings. A leading build:<owner/repo | issue-url | free-text instruction> — the shape the Telegram "ship which opportunity?" force-reply sends via repo-scanner's offer — is intercepted first and routed into the external branch on that target/instruction. --fix-issues biases the chosen branch toward fixing an open GitHub issue. Full grammar below.

This skill merges three repo-work modes behind one selector so no capability is lost:

Branch Selector Per run Repo source Use it for
watched (§A) empty / watched Iterates every watched repo, ships one PR per repo memory/watched-repos.md Weekly broad sweep — keep every repo moving
external (§B) external[:owner/repo[#N]] Single repo per run memory/topics/repos.md catalog (or ${var} override) Targeted enhancement / issue fix on one repo
dormant (§C) dormant[:owner/repo] Single dormant repo per run memory/watched-repos.md scored by dormancy Reactivate a stale high-★ repo with one visible fix

Today is ${today}. Read memory/MEMORY.md and the last 7 days of memory/logs/ before starting — and before notifying, drop anything already reported in the last ~3 days of logs.

Selector

Dev-loop repair interception — check before every normal selector. If ${var} matches repair:<owner/repo#N>@<40-character-lowercase-sha>, this is the one bounded repair pass authorized by a verified review receipt. Fetch that exact PR and fail closed unless it is still open and its current head SHA exactly matches the supplied SHA. Read the injected pr-review chain context, and require at least one [CRITICAL] or [ISSUE] finding whose receipt matches the same target and SHA. Checkout the PR's existing head branch; do not create a new branch or PR. Address only those actionable findings, run the repository's relevant tests, commit and push to the existing PR branch. If the target, SHA, receipt, branch permissions, or requested fix is ambiguous, make no change and report the blocker. One repair invocation is one pass: never recursively dispatch another agent or claim that a subsequent review passed.

Telegram force-reply interception — check this immediately after the repair interception, before parsing normal selectors. If ${var} starts with build:, it is the "ship which opportunity?" force-reply that repo-scanner offers (routed here as feature with var="build:<the operator's reply>"). Strip the prefix with ${var#build:} and treat the remainder as an external build target/instruction — route it straight into the external branch (§B), reusing that branch's existing logic (do not run the watched or dormant branches for a build: value, and do not duplicate §B). Normalize the remainder into a §B target:

  • owner/repo → run §B as if external:owner/repo (B2 "clone that repo").
  • an issue URL (https://github.com/owner/repo/issues/N) or owner/repo#N → run §B as if external:owner/repo#N (B2 "fetch that issue").
  • free text like owner/repo: add retry to the client → run §B on owner/repo, using the trailing text as the explicit enhancement to build (see §B4's "requested enhancement" note — skip the auto-pick).
  • anything else with no parseable repo → run §B passing the whole remainder as the enhancement instruction; §B B2/B4 already reason about selecting and scoping a target.

Read the full file on GitHub · 616 lines

Changes

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.

  1. 13d ago Changed ba94f00ad616
  2. 14d ago Changed · +1 lines 67a2ed32987d
  3. 15d ago Changed · +37 lines e453ea3dff0c
  4. 1mo ago Changed · +16 lines b71672ed11a7
  5. 1mo ago Changed · +8 lines b9a7d4732664
  6. 1mo ago First seen · 554 lines · 46 tokens per session scan C 2a02d778f165

Subscribe to this mod's changes

feature is a skill published in the GitHub repository aeonfun/aeon (776 stars, last pushed today), licensed MIT. It adds 46 tokens to every session and 8,482 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it C with 2 findings (recursive force delete, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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