Agent skill

Weekly Aeoncard

by aeonfun in aeonfun/aeon

Build a weekly token-consumption recap image from memory/token-usage.csv - this week + all-time totals, top skills, rendered as a shareable SVG card.

MITAuto-check passedDocuments & Office

Install Weekly Aeoncard

skills CLI
$ npx skills add aeonfun/aeon --skill weekly-aeoncard -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install aeonfun/aeon weekly-aeoncard --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/aeonfun/aeon.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/weekly-aeoncard .claude/skills/weekly-aeoncard && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
weekly-aeoncard
GitHub stars
767
Token cost
~1.8k tokens
SKILL.md length
569 words
Files
2
Skills in repo
82
Repo updated
First seen
Licence
MIT

At a glance

Build a weekly token-consumption recap image from memory/token-usage.csv - this week + all-time totals, top skills, rendered as a shareable SVG card.

  • Works in 7 steps: Parse ${var} → window + mode. → Guard the ledger. The recap is… → Derive the instance name + image link.… → …
  • Tasks that involve CSV and tabular files
  • SKILL.md covers Steps, Network note and Constraints
  • Runs Python scripts from its folder; calls jq, git and python3; reaches github.com

What it does

Weekly Aeoncard is an agent skill from aeonfun/aeon. Build a weekly token-consumption recap image from memory/token-usage.csv - this week + all-time totals, top skills, rendered as a shareable SVG card.

Its SKILL.md is about 1.8k tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `render_card.py`).

It sits in Documents & Office, covering CSV and tabular files. The repository describes itself as: 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… The licence is MIT.

When your agent uses it

  • Tasks that involve CSV and tabular files

Example prompts

  • “/weekly-aeoncard”

Requirements

  • Python 3

Workflow steps

7 steps, taken from the first numbered list in SKILL.md.

  1. Parse ${var} → window + mode.
  2. Guard the ledger. The recap is synthesis-only — no ledger, nothing to show.
  3. Derive the instance name + image link. From the git origin, so the card self-labels and the notification deep-links the committed SVG.
  4. Render the card + artifacts. One call writes the SVG (canonical image), a best-effort PNG, the markdown report, the dashboard spec, and…
  5. Read the numbers back. Parse $SUMMARY for the notification (it holds week_human, week_runs, life_human, life_runs, since, cache_read_pct…
  6. Log. The render step already appended a ### weekly-aeoncard block to memory/logs/${today}.md (window, weekly + all-time totals, top…
  7. Notify. If MODE is dry-run, skip this step (log WEEKLY_AEONCARD_DRY_RUN and stop - the image, report, and dashboard spec are already…

What it can do on your machine

Read from SKILL.md and the folder at commit c0cb7c4. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships script files (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • jq
    • git
    • python3
    • gh
    • pip

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • github.com

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Weekly Aeoncard loads about 1.8k tokens when it runs. Until then it costs about 41 tokens; SKILL.md has 569 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~41
When it runs · the whole SKILL.md, loaded when a task matches
~1.8k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from aeonfun/aeon at commit c0cb7c4, republished under its MIT licence (© aeonfun). 569 words, ~1,776 tokens.

Download SKILL.mdSave it as .claude/skills/weekly-aeoncard/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
weekly-aeoncard
description
Build a weekly token-consumption recap image from memory/token-usage.csv - this week + all-time totals, top skills, rendered as a shareable SVG card.
metadata.title
Weekly Aeon Card
metadata.mode
write
metadata.category
productivity
metadata.tags
monitoring, meta
metadata.capabilities
sends_notifications

${var} — window + delivery control.

  • empty → weekly card: last 7 days + all-time, render the image, notify.
  • dry-run → render the image + report + dashboard spec but send no notification (artifacts still write). Combine with a window, e.g. dry-run 30.
  • integer N → override the weekly window to the last N days (default 7, cap 90). Example: 14, 30.

Today is ${today}. Turn this instance's own token ledger (memory/token-usage.csv) into a one-glance recap: how many tokens it burned this week, how many since it started, which skills dominate — rendered as a self-contained SVG card an operator can screenshot and share. Every number is measured from the ledger; nothing is fetched, sampled, or estimated. The heavy lifting is in skills/weekly-aeoncard/render_card.py (pure Python stdlib, deterministic) so you orchestrate, not hand-compute.

Steps

  1. Parse ${var} → window + mode.

    bash
    V="$(echo "${var}" | tr '[:upper:]' '[:lower:]' | xargs)"
    MODE=execute; case "$V" in dry-run*) MODE=dry-run; V="${V#dry-run}"; V="$(echo "$V" | xargs)";; esac
    WINDOW_DAYS=7; case "$V" in ''|*[!0-9]*) : ;; *) WINDOW_DAYS="$V";; esac
    [ "$WINDOW_DAYS" -gt 90 ] 2>/dev/null && WINDOW_DAYS=90
    [ "$WINDOW_DAYS" -lt 1 ] 2>/dev/null && WINDOW_DAYS=7
  2. Guard the ledger. The recap is synthesis-only — no ledger, nothing to show.

    bash
    CSV=memory/token-usage.csv
    if [ ! -s "$CSV" ] || [ "$(wc -l < "$CSV")" -lt 2 ]; then
      ./notify "weekly-aeoncard skipped: memory/token-usage.csv absent or empty (no runs recorded yet)"
      exit 0   # WEEKLY_AEONCARD_NO_DATA
    fi
  3. Derive the instance name + image link. From the git origin, so the card self-labels and the notification deep-links the committed SVG.

    bash
    REMOTE="$(git remote get-url origin 2>/dev/null)"
    REPO="$(echo "$REMOTE" | sed -E 's#.*github.com[:/]([^/]+/[^/.]+)(\.git)?/?$#\1#')"
    INSTANCE="${REPO#*/}"; [ -n "$INSTANCE" ] || INSTANCE=aeon
    SVG="output/images/weekly-aeoncard-${today}.svg"
    IMG_LINK="https://github.com/${REPO}/blob/main/${SVG}"
  4. Render the card + artifacts. One call writes the SVG (canonical image), a best-effort PNG, the markdown report, the dashboard spec, and appends the run log. It prints a one-line JSON summary on stdout — capture it.

    bash
    mkdir -p output/images output/articles apps/dashboard/outputs
    # The PNG (a raster copy committed next to the SVG) needs a rasterizer. The workflow stages `rsvg-convert`
    # (librsvg2-bin) for this skill before the run — the agent allowlist blocks in-run
    # pip/apt. render_card.py uses cairosvg if importable, else rsvg-convert, else SVG-only.
    SUMMARY="$(python3 skills/weekly-aeoncard/render_card.py \
      --csv "$CSV" --today "${today}" --window-days "$WINDOW_DAYS" \
      --instance "$INSTANCE" --img-link "$IMG_LINK" \
      --out "$SVG" \
      --png "output/images/weekly-aeoncard-${today}.png" \
      --report "output/articles/weekly-aeoncard-${today}.md" \
      --dashboard "apps/dashboard/outputs/weekly-aeoncard.json" \
      --log "memory/logs/${today}.md")"
    RC=$?
    if [ "$RC" -ne 0 ]; then
      ./notify "weekly-aeoncard: render failed (rc=$RC) — ledger unreadable"
      exit 0
    fi

    All writes land under output/ and apps/dashboard/outputs/ - paths the run commits. The PNG is a raster copy committed next to the SVG (needs cairosvg or rsvg-convert); if neither is available the SVG stands alone as the canonical image. Either way the notify is a text recap + link.

  5. Read the numbers back. Parse $SUMMARY for the notification (it holds week_human, week_runs, life_human, life_runs, since, cache_read_pct, top_week):

    bash
    WK=$(echo "$SUMMARY" | jq -r .week_human); WKR=$(echo "$SUMMARY" | jq -r .week_runs)
    LF=$(echo "$SUMMARY" | jq -r .life_human); LFR=$(echo "$SUMMARY" | jq -r .life_runs)
    SINCE=$(echo "$SUMMARY" | jq -r .since)
    TOP=$(echo "$SUMMARY" | jq -r '[.top_week[:3][] | "\(.[0]) \(.[1]/1e6|floor)M"] | join(", ")')
    PNG=$(echo "$SUMMARY" | jq -r '.png // ""')   # empty when no rasterizer was available
  6. Log. The render step already appended a ### weekly-aeoncard block to memory/logs/${today}.md (window, weekly + all-time totals, top skills, image path, WEEKLY_AEONCARD_OK). Do not duplicate it.

  7. Notify. If MODE is dry-run, skip this step (log WEEKLY_AEONCARD_DRY_RUN and stop - the image, report, and dashboard spec are already written). Otherwise send the recap + the committed card link via ./notify -f. ./notify is text-only: it has no --photo/--video flag (an unknown flag exits 2 and sends nothing), so never attach the image:

    bash
    [ "$MODE" = dry-run ] && exit 0
    BODY="This week (${WINDOW_DAYS}d): ${WK} tokens · ${WKR} runs
    All-time: ${LF} tokens · ${LFR} runs (since ${SINCE})
    Top this week: ${TOP}
    Card: ${IMG_LINK}"
    # Body from a file (any length); the card itself ships as the IMG_LINK in the body.
    NOTE_FILE="${TMPDIR:-/tmp}/weekly-aeoncard-notify.md"
    echo "$BODY" > "$NOTE_FILE"
    ./notify --title "Weekly Aeon Card - ${INSTANCE}" -f "$NOTE_FILE"
Show full SKILL.md (224 more words)Show less

Network note

The skill issues no gh api and puts no secrets on the command line. Stats are read from memory/token-usage.csv; the card is rendered by skills/weekly-aeoncard/render_card.py using only the Python standard library (deterministic - ${today} is passed in, never read from the clock). To also emit a raster PNG it uses cairosvg (best-effort pip install) or an rsvg-convert fallback - both optional; without them the run still succeeds with the SVG as the image. The image link is built from git remote get-url origin (a local read). Delivery goes through ./notify, a text-only queue-writer (the post-run notify step owns the channel tokens and does the send).

Constraints

  • Synthesis-only. Every number is measured from the ledger. If the ledger is missing a skill's runs, that skill simply doesn't appear — never invent rows.
  • Write skill. It renders and commits artifacts, so it is mode: write (the read-only tier withholds Bash(python3:*) — an interpreter is a write vector — so a Python-rendered card cannot run read-only; a Node renderer could, but this skill is honestly a write). All file writes still happen inside render_card.py (Python open()) for deterministic, single-shot output.
  • Idempotent. Same-day reruns overwrite output/images/weekly-aeoncard-${today}.svg, the report, and the dashboard spec; the log block appends (one per run) so reruns show drift.
  • The SVG is the deliverable. The PNG is a convenience for chat/social; its absence is never an error.

© aeonfun, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file in skills/weekly-aeoncard of aeonfun/aeon.

  • SKILL.md
  • render_card.py

Open the folder on GitHubat commit c0cb7c4

Compare with similar skills

Weekly Aeoncard next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Weekly Aeoncard compared with similar skills
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Weekly Aeoncard this skillaeonfun/aeon767—~1.8kAutomated safety check: PassMIT
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Abuse Hunternexu-io/harness-engineering-guide664—~1.9kAutomated safety check: PassMIT
Markitshift-labs-ai/markit1.3k—~299Automated safety check: PassMIT
Sector Analysttradermonty/claude-trading-skills3k1 repos~2.3kAutomated safety check: PassMIT

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Questions about Weekly Aeoncard

What does Weekly Aeoncard do?

Build a weekly token-consumption recap image from memory/token-usage.csv - this week + all-time totals, top skills, rendered as a shareable SVG card. Weekly Aeoncard is an agent skill from aeonfun/aeon.csv - this week + all-time totals, top skills, rendered as a shareable SVG card.

When should I use Weekly Aeoncard?

Weekly Aeoncard fits situations like: tasks that involve CSV and tabular files.

How do I install Weekly Aeoncard in Claude Code?

Run `npx skills add aeonfun/aeon --skill weekly-aeoncard -a claude-code`. Or copy the skill folder (skills/weekly-aeoncard in aeonfun/aeon) into .claude/skills/weekly-aeoncard in your project. Claude Code loads it when a task matches its description.

How do I install Weekly Aeoncard in Codex?

Run `npx skills add aeonfun/aeon --skill weekly-aeoncard -a codex`. Or copy the skill folder (skills/weekly-aeoncard in aeonfun/aeon) into .agents/skills/weekly-aeoncard in your project. Codex loads it when a task matches its description.

Can I use Weekly Aeoncard in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add aeonfun/aeon --skill weekly-aeoncard -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/weekly-aeoncard, .gemini/skills/weekly-aeoncard, .github/skills/weekly-aeoncard and .opencode/skills/weekly-aeoncard in your project.

What does Weekly Aeoncard need to run?

Going by SKILL.md and its folder, Weekly Aeoncard needs Python for the scripts in its folder and the command-line tools its instructions call (jq, git, python3, gh and pip). Our summary lists: Python 3.

Does Weekly Aeoncard access the network?

SKILL.md names 1 domain. In commands or code: github.com; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.

Is Weekly Aeoncard safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Weekly Aeoncard use?

Weekly Aeoncard is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Weekly Aeoncard use?

About 1.8k tokens (SKILL.md is roughly 7.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Weekly Aeoncard?

Skills that share tags, products or a category with Weekly Aeoncard: Data Table Manager (n8n-io/n8n, 207k stars), Instrument Data To Allotrope (aws-samples/amazon-bedrock-agents-healthcare-lifesciences, 274 stars), Abuse Hunter (nexu-io/harness-engineering-guide, 664 stars) and Markit (shift-labs-ai/markit, 1.3k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Weekly Aeoncard?

aeonfun (a GitHub organization) maintains it in aeonfun/aeon, which has 767 GitHub stars. The repository holds 82 skills in this directory. The repository was last updated on October 8, 2026.

Source: aeonfun/aeon on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.