Agent skill · Audited from source

Reply Maker

skill · aaronjmars/aeonMIT licenceAudited 14 Oct 2026 · source 0448e87653f9

★ 774pushed today
✓SAFEGrade B · 89/100 · 14 Oct 2026 · 0448e87
774repo stars · whole aaronjmars/aeon

Is it safe? Yes — SAFE, grade B (89/100). We read this skill's source at commit 0448e87653f9 and found no filesystem, network or shell access and no hard-coded secrets. What it does: Draft copy-paste-ready X replies - two options per reply-worthy tweet from tracked accounts, topics, or lists (default), or ready-to-post responses to engagement opps in recent logs (from-logs)

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Cite this page

ModelsAtlas. “Reply Maker (aaronjmars/aeon)”. Retrieved 14 Oct 2026. https://modelsatlas.com/skills/aaronjmars/reply-maker

Trust audit

Audit 0.4.1 · source read 14 Oct 2026

Trust score89/100✓SAFE B
0 critical0 high0 medium0 low0 info

SAFE means nothing in the source contradicts what the skill says it does. Grade B is shared by 13,985 of 14,816 audited skills.

What the source does

  • FilesystemNone observedNo reads or writes in the source
  • NetworkNone observedNo outbound calls in the source
  • ShellNone observedNo commands run in the source
  • DependenciesPinnedNothing floats
  • SecretsNone foundNo keys in source

Five audit layers

LayerWhat we checkResultFindings
L0 ProvenanceRepo owner, licence, archive status, activityPASS0
L1 Static sourceSecrets, path traversal, supply chain, hidden codeNA0
L2 InstructionsPrompt injection, authority framing, hidden directivesPASS0
L3 InventoryThe files and declarations match the sourcePASS0
L4 SandboxRun in isolation and watch behaviourSKIPPED why0

Gates applied: no behavioural pass.

Findings (0)

No findings at any severity. We re-audit when the source changes.

Audit 0.4.1 · source sha 0448e87653f9 · 14 Oct 2026Report an issue or request a re-scan

Provenance

Who published it, and what the verdict is pinned to

  • Publisheraaronjmars GitHub organizationOwner of the repository this skill is read from
  • Source folderaaronjmars/aeon/skills/reply-makerThe exact folder we audited
  • LicenceMITAs the repository states it
  • Commit pinned for this verdict0448e87653f9A new audit runs when the source changes
  • Repository statusNot archivedPushed today
  • Sandboxed runNot runSkills are read, not executed; layer L4 is skipped

What it tells the agent

Full source on GitHub ↗

Its description: Draft copy-paste-ready X replies - two options per reply-worthy tweet from tracked accounts, topics, or lists (default), or ready-to-post responses to engagement opps in recent logs (from-logs)

---
name: reply-maker
description: Draft copy-paste-ready X replies - two options per reply-worthy tweet from tracked accounts, topics, or lists (default), or ready-to-post responses to engagement opps in recent logs (from-logs)
metadata:
  title: Reply Maker
  category: productivity
  var: "empty = auto-discover reply-worthy tweets and draft two options each; @handle / numeric X list ID / topic = scope the drafting to that; from-logs (or --from-logs [@handle|project]) = turn flagged engagement opps from recent logs into ready-to-post replies"
  commits: false
  tags:
    - social
    - meta
  requires:
    - XAI_API_KEY?
---
<!-- autoresearch: variation B — sharper output via specificity gates, anti-sycophancy lint, post-write self-edit, and skip-gate for low-leverage tweets -->

> **${var}** — selects the mode and scope:
> - **empty** → **Mode A (Reply Drafting):** auto-discover reply-worthy tweets across your areas of interest (from recent logs + memory) and draft two reply options for each.
> - **`@handle` / numeric X list ID / topic** → **Mode A (Reply Drafting)** scoped to that handle, list, or topic.
> - **`from-logs`** (or **`--from-logs`**, optionally followed by an `@handle` or project name to narrow the scan) → **Mode B (From-Logs Engagement):** scan recent logs for flagged engagement opportunities and turn them into copy-paste-ready responses.
> - **`revise:<instruction>`** → **Revise branch:** reload the last drafted replies and refine them per the instruction (the Telegram force-reply shape, e.g. `revise:make them shorter`).

## Preamble (both modes)

Read `memory/MEMORY.md` for context on active projects and open engagement follow-ups.

Then read `memory/logs/` — the window depends on the mode:
- **Mode A:** the last 2 days of `memory/logs/` for recent `fetch-tweets`, `narrative-tracker`, and prior `reply-maker` outputs (used as a candidate pool and for reply de-duplication).
- **Mode B:** the last 7 days of `memory/logs/` for engagement opportunities flagged by other skills (`mention-radar`, `fetch-tweets`, `reply-maker`) or noted in MEMORY.md "Known Follow-ups".

**Parse `${var}` to pick the branch** (trim whitespace, compare case-insensitively):
- If `${var}` starts with `revise:` — run the **Revise branch** (below) and stop. This is the shape `scripts/telegram-route.sh` sends when the operator replies to a "refine these replies?" force-reply prompt; catch it before mode parsing.
- If `${var}` is `from-logs` or `--from-logs` — optionally followed by a whitespace-separated `@handle` or project name — run **Mode B (From-Logs Engagement)**. Treat any trailing token as an optional filter that narrows the opportunity scan to that handle/project.
- Otherwise run **Mode A (Reply Drafting)**, treating `${var}` as the scope: empty, `@handle`, numeric X list ID, or a topic string.

## Voice

If soul files exist (`soul/SOUL.md`, `soul/STYLE.md`, `soul/examples/`), read them and **mirror that voice in every reply**. Match sentence length, vocabulary choices, punctuation habits, and the kinds of things the operator would never say.

If no soul files exist (or the bodies are empty placeholders), write replies that are:
- Direct and substantive — no fluff, no sycophancy
- Under 280 characters each (X replies; DMs and GitHub comments may run longer — see Mode B)
- Opinionated but grounded in specifics
- The kind of reply that adds to the conversation, not noise

Either way, when responding to someone who cosigned/mentioned/attributed the operator (Mode B): **acknowledge without groveling** — no "thanks so much for the kind words!", just the actual response.

---

# Revise branch (`revise:...` — Telegram force-reply)

The operator tapped the "refine these replies?" prompt and sent a free-text revision instruction. Handle it before Mode A/B:

1. **Strip the prefix.** The instruction is `${var#revise:}` (keep any inner colons). Trim whitespace — e.g. `make them shorter`, `less formal`, `drop reply B on #2`.
2. **Load the last draft.** Read `memory/drafts/reply-maker-latest.md` — the stable path every normal run saves to (see the save steps in A4 / B6). If it's missing or empty, there's nothing to refine: send `./notify "Nothing to revise yet — run reply-maker first, then reply here to refine the drafts."` and **end the run**.
3. **Apply the instruction.** Read `soul/` for voice, then regenerate the saved replies applying the operator's instruction. Keep the same set of target tweets and the same **A/B two-option** structure (Mode A) or ready-to-post list (Mode B) — you're refining wording, not re-discovering candidates. Re-enforce the hard reply rules: ≤280 chars for X replies, no sycophancy (see **Banned sycophancy phrases**), specifics not gestures.
4. **Re-save** the revised drafts to `memory/drafts/reply-maker-latest.md` (overwrite), so a further `revise:` refines the newest version.
5. **Re-send** via `./notify` in the same format the originating mode uses, with a first line flagging it as a revision, e.g. `revised (${var#revise:}):`. Use `./notify -f <file>` for multi-line output.
6. **Re-offer** a further revision (the operator is actively iterating, so this is expected, not a nag — skip the daily dedup guard here):
   ```bash
   ./notify "Want another pass? Reply with a change and I'll revise again." \
     --force-reply --placeholder "e.g. make them shorter" \
     --context "reply-maker::revise"
   ```
7. **Log** under `### reply-maker` with `- **Mode:** revise` and the instruction (see **Log**), then **end the run** — do NOT run Mode A or B.

---

# Mode A — Reply Drafting

Generate **two reply options** for **5 reply-worthy tweets** from tracked X accounts, a list, or a topic.

### A1. Gather candidate tweets

Goal: assemble **10–15 candidates** posted in the **last 6 hours** (the high-leverage reply window — the algorithm rewards early replies, and the OP is still likely to engage back). **Recency fallback:** if the 6h window yields fewer than 3 candidates after the skip gate

Excerpt, first 6,000 characters of SKILL.md, verbatim from the audited commit. It is text from someone else’s repository, quoted so you can judge it before your agent reads it.

Install

Pinned to the audited commit 0448e87

Download folder ↗
git clone https://github.com/aaronjmars/aeon
git -C aeon checkout 0448e87653f9

The author documents no install command, so this uses the repository directly. Our verdict covers commit 0448e87653f9 only.

Works in

The author has not said which agents this skill supports, and we have not tested it in any.

Audit history

Every audit, every source change

  1. ✓SAFE B 89 / 100

    first audit · source 0448e87653f9

Similar skills

Questions about Reply Maker

What does the Reply Maker skill do?
The most autonomous AI agent framework: runs unattended on GitHub Actions, self-healing skills, drives Claude Code, Grok, Codex & more. No approval loops. Configure once, forget forever.
Is Reply Maker safe to install?
The audit found nothing in the source that contradicts what it says it does, and graded it B (89/100). Grade A is held back for packages that have also passed a sandboxed behavioural run, which is why a clean skill reads B.
What can Reply Maker access on my machine?
The audit observed no filesystem, network or shell use at all in its source.
How current is this page?
The grade is for one exact copy of the source (0448e87653f9), read on 2026-10-14. The repository is watched, and a new audit runs when it changes — this is the first audit.

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