narrative-tracker — Claude Code skill: map crypto narratives
This skill pulls crypto and tech narratives from X, scores their mindshare and velocity, and gives each one a position call: FRONT-RUN, RIDE, FADE, WATCH or IGNORE.
npx skills add aeonfun/aeon --skill narrative-tracker -a claude-codeWhat narrative-tracker does
The skill starts by reading memory/MEMORY.md and the last three days of memory/logs/. That keeps it from repeating old observations and lets it spot phase shifts between runs. The main signal comes from a direct curl to the X.AI Responses API using Grok's x_search tool, with the reply parsed by jq.
Every narrative gets a mindshare score from 1 to 5, a velocity arrow, a phase label (Emerging, Rising, Peak, Fading), a sentiment tag and 2-3 named drivers with @handles. Each one also carries a one-line bear case. Narratives scored IGNORE are dropped unless they matter structurally. The run then diffs today's list against the logs and marks transitions such as NEW or PROMOTED.
XAI_API_KEY has to be set, otherwise the primary path never fires. When the key is missing, the HTTP status is not 2xx, the body is empty or the call times out, the skill falls back to WebSearch and WebFetch. That route is weaker because search surfaces older high-engagement posts. The final output names the real failure reason: key-unset, http-<code>, empty or timeout. The skill runs read-only.
What it helps with
- tell a narrative that is still climbing from one that already played out
- merge three days of tweets into one deduplicated topic list
- get an explicit position call instead of a bare classification
- catch a phase change against the previous run
- calibrate mindshare against outside metrics such as DefiLlama or Kaito
Example prompts for the agent
- Map the crypto narratives from the last three days and give me a position call on each
- Which narratives are peaking right now and which are fading? Compare with the previous run
- Check whether any narrative moved from Emerging to Rising
How to install narrative-tracker
1Skills CLI (Vercel)
npx skills add aeonfun/aeon --skill narrative-tracker -a claude-code2Manually: put the files in place
~/.claude/skills/narrative-tracker/SKILL.mdCopy the whole skill folder; for one project use .claude/skills/narrative-tracker/
1Skills CLI (Vercel)
npx skills add aeonfun/aeon --skill narrative-tracker -a codex2Manually: put the files in place
.agents/skills/narrative-tracker/SKILL.mdFor all projects use ~/.agents/skills/
1Skills CLI (Vercel)
npx skills add aeonfun/aeon --skill narrative-tracker -a cursor2Manually: put the files in place
.cursor/skills/narrative-tracker/SKILL.mdCursor also reads .agents/skills/ and .claude/skills/
1GitHub CLI
gh skill install aeonfun/aeon narrative-tracker2Manually: put the files in place
.github/skills/narrative-tracker/SKILL.md1Skills CLI (Vercel)
npx skills add aeonfun/aeon --skill narrative-tracker -a gemini-cli2Platform CLI
gemini skills install https://github.com/aeonfun/aeon --path skills/narrative-trackerManually: put the files in place
.devin/skills/narrative-tracker/SKILL.mdThe legacy .windsurf/skills/ path still works
Skills CLI (Vercel)
npx skills add aeonfun/aeon --skill narrative-tracker -a opencodeClaude.ai
Zip the folder and upload it in Settings → Capabilities → Skills
Step by step, with commands for each platform: How to install skills in Claude Code: five ways
Questions about narrative-tracker
How do I install narrative-tracker in Claude Code?
Run npx skills add aeonfun/aeon --skill narrative-tracker -a claude-code. The skill lands at ~/.claude/skills/narrative-tracker/SKILL.md.
What does narrative-tracker do?
It gathers narratives from X through the X.AI API, scores their mindshare and velocity, tags phase and sentiment, and returns a position: FRONT-RUN, RIDE, FADE, WATCH or IGNORE.
What does the skill need to run?
The XAI_API_KEY environment variable. Without it the X.AI API path cannot start and the skill drops to the WebSearch fallback.
Source text
SKILL.md · MIT
---
name: narrative-tracker
description: Track rising, peaking, and fading crypto/tech narratives with quantitative mindshare + velocity signals and explicit positioning calls
metadata:
commits: true
permissions:
- contents:write
title: Narrative Tracker
mode: read-only
category: crypto
tags:
- crypto
- research
requires:
- XAI_API_KEY
---
<!-- autoresearch: variation B — sharper output (quantitative mindshare + velocity + explicit positioning calls, with multi-angle inputs from A, dedup/empty-state handling from C, and transition detection from D) -->
Read `memory/MEMORY.md` for context on prior narrative observations.
Read the last 3 days of `memory/logs/` — specifically any prior `### narrative-tracker` entries — to (a) avoid re-reporting the same narratives without new info, and (b) detect phase transitions vs the last run.
## Goal
Produce a *decision-grade* narrative map: every narrative gets a mindshare score, a velocity arrow, a sentiment tag, named drivers, and an explicit position call. Classification without a position call is noise.
## Steps
### 1. Ingest signals
**a. X/Twitter narratives — X.AI API (primary).** The primary signal is a direct `curl` to the X.AI Responses API with Grok's `x_search` tool — see **## Fetching** below for the full contract. `XAI_API_KEY` is injected into this skill's environment via `requires:`; it is present and valid, so this path is required whenever the key check prints `KEY_PRESENT`. Set the Bash tool `timeout` to ≥180000 when running the curl (x_search takes 30-120s) and capture the HTTP status:
```bash
FROM_DATE=$(date -u -d "3 days ago" +%Y-%m-%d 2>/dev/null || date -u -v-3d +%Y-%m-%d)
TO_DATE=$(date -u +%Y-%m-%d)
# Presence check uses the ${VAR:+x} modified expansion, NOT a bare $XAI_API_KEY — the bare
# form trips the Bash secret-expansion analyzer; the :+ form does not (it never puts the value on the line).
[ -n "${XAI_API_KEY:+x}" ] && echo KEY_PRESENT || echo KEY_UNSET
# Build the JSON payload to a file with jq (do NOT hand-assemble it), then POST the file.
# TWO SEPARATE commands on purpose: the jq (which interpolates $PROMPT/$FROM_DATE/$TO_DATE)
# is kept OUT of the ./secretcurl command — never pipe jq into secretcurl, and never put a
# $VAR in the secretcurl line, or the Bash permission analyzer blocks the network call.
# The `>` redirect to /tmp is fine in read-only mode (it is not a repo path; nothing reverts it).
PROMPT="Search X for the dominant crypto and tech narratives from ${FROM_DATE} to ${TO_DATE}. Return 12-15 distinct narrative threads. For each: 1) short label, 2) 3-5 representative @handles driving it, 3) 2-3 tweet permalinks, 4) rough mention-volume descriptor (niche / growing / saturating / cooling), 5) the strongest one-line bear case against it."
jq -n --arg p "$PROMPT" --arg fd "$FROM_DATE" --arg td "$TO_DATE" \
'{model:"grok-4.7", input:[{role:"user",content:$p}], tools:[{type:"x_search",from_date:$fd,to_date:$td}]}' \
> /tmp/xai-nt-payload.json
HTTP=$(./secretcurl -s -o /tmp/xai-nt.json -w '%{http_code}' --max-time 150 -X POST "https://api.x.ai/v1/responses" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer {XAI_API_KEY}" \
-d @/tmp/xai-nt-payload.json)
echo "xai http=$HTTP bytes=$(wc -c </tmp/xai-nt.json)"
```
Run that block **verbatim** (do not hand-reassemble the JSON — the `jq -n` builder exists precisely so quoting/expansion can't break; keep the jq and the `./secretcurl` as two separate commands). The `echo "xai http=$HTTP ..."` line **must appear in your output** — it is your proof the call ran. On `HTTP=200` with a non-empty body, parse `/tmp/xai-nt.json` with `jq -r '.output[] | select(.type == "message") | .content[] | select(.type == "output_text") | .text'` and use that as the primary narrative signal (`SOURCE=api`).
**b. WebSearch / WebFetch fallback (last-resort only).** You may reach for this **only after** you have shown an `xai http=<code>` line proving Path A actually ran and returned a non-2xx code (or an empty body, or timed out). If you have no `xai http=` line, you did not run the call - go back and run it. Reach for the fallback **only** when Path A genuinely fails - `KEY_UNSET`, a non-2xx HTTP code, an empty parse, or a timeout. It is lower quality (WebSearch favours old high-engagement posts) and is **never co-equal** with Path A. Record the fetch failure in your final output with the **true reason** - `key-unset` | `http-<code>` | `empty` | `timeout` - never "XAI_API_KEY unavailable" when the key was set (a slow curl is a `timeout`, not a missing key). Then compile narratives via WebSearch (`crypto narrative ${TO_DATE}`, `AI agent crypto trend this week`) and WebFetch on individual tweet URLs; discard anything older than the 3-day window.
**c. Quantitative reference points (supplement).** Independently of the fetch path, cross-check mindshare against external quantitative benchmarks with one WebSearch: `DefiLlama narrative tracker` OR `Kaito mindshare leaderboard`. Pull 1-2 concrete numbers (project name, metric, link) to calibrate the mindshare scores in step 2. This is a calibration cross-check, **not** a narrative source. Do not paraphrase — extract facts.
**d. Memory diff.** Extract narrative labels mentioned in the last 3 days of `### narrative-tracker` log entries. You'll compare against them in step 4.
### 2. Score each narrative
For each distinct narrative (merge near-duplicates aggressively — "AI agents" and "agentic crypto" are the same), assign:
| Field | Scale | How to decide |
|---|---|---|
| **Mindshare** | 1-5 | 1 = fringe, 3 = known in the sector, 5 = dominating timelines. Base on count of distinct drivers + whether you had to dig or it surfaced unprompted. |
| **Velocity** | ↑↑ / ↑ / → / ↓ / ↓↓ | Compared to the 3-day window or prior log entries. ↑↑ = tripled in attention, ↓↓ = was loud 3 days ago, now absent. |
| **Phase** | Emerging / Rising / Peak / Fading | Use the velocity + mindshare combo. Emerging = low mindshare, high velocity. Peak = high mindshare, flat/down velocity. Fading = high mindshare last week, now ↓. |
| **Sentiment** | Bull / Mixed / Bear / Cope | Cope = bag-holder energy, bear narratives dressed as bull takes. |
| **Drivers** | 2-3 named | Accounts, projects, or funds amplifying it. Include @handles. |
| **Bear case** | 1 line | The sharpest argument against. If the consensus is obviously right, say so and mark "no contrarian edge". |
| **Position** | FRONT-RUN / RIDE / FADE / WATCH / IGNORE | FRONT-RUN = emerging + contrarian edge. RIDE = rising, not yet peaked. FADE = peak with weak fundamentals or reflexivity flip. WATCH = unclear. IGNORE = mindshare 1-2 with no catalyst. |
Drop any narrative that ends up IGNORE unless it's structurally important — noise reduction is the goal.
### 3. Detect transitions
Compare today's narratives to the last 3 days of logs:
- **NEW** — narrative wasn't in prior logs at all
- **PROMOTED** — phase moved up (e.g. Emerging → Rising)
- **DEMOTED** — phase moved down
- **DEAD** — was in prior logs, now absent from all signals
Transitions are the highest-value output — the point of a daily tracker is to catch inflection points, not re-report the zeitgeist.
### 4. Flag reflexivity
For each narrative, flag if the story itself is moving outcomes:
- Token prices moving on narrative alone (no fundamentals shift)
- Projects rebranding/pivoting to ride the narrative
- VCs publicly endorsing to manufacture legitimacy
- Prediction markets or on-chain flows reflecting narrative belief
Only flag explicit cases with a concrete example. "Reflexivity" without evidence is hand-waving.
### 5. Format the notification
Keep under 4000 chars. Lead with transitions and reflexivity — those are the decisions. Classification goes below.
```
*Narrative Tracker — ${today}*
TRANSITIONS
• NEW: <label> — <why it matters> — <link>
• PROMOTED: <label> Rising → Peak — <what flipped>
• DEMOTED: <label> Peak → Fading — <what cooled>
• DEAD: <label> — gone
REFLEXIVITY ALERT
• <narrative> — <concrete evidence the story is moving outcomes>
POSITIONS
• FRONT-RUN: <label> (mindshare 2 ↑↑, Bull) — <driver> — <bear case> — <link>
• RIDE: <label> (3 ↑, Bull) — <driver> — <bear case>
• FADE: <label> (5 → Cope) — <driver> — <reflexivity note>
MAP
Emerging: <labels>
Rising: <labels>
Peak: <labels>
Fading: <labels>
```
If absolutely nothing new or notable (no transitions, no reflexivity, no FRONT-RUN/FADE calls): send a one-line update instead of the full template — `*Narrative Tracker — ${today}*: no phase transitions, map unchanged from <last_date>.`
### 6. Send via `./notify`
### 7. Log record
This skill is `read-only`, so the workflow's read-only guard writes its `### narrative-tracker` log entry from your captured output; a self-written entry would be a duplicate. Don't append to `memory/logs/` yourself - put this record in your **final output**: the full structured output (not just the notification - include all narratives considered, even IGNOREd ones, so future diffs work). If a full run produced nothing actionable, record `NARRATIVE_TRACKER_OK` with the narrative labels seen (so tomorrow's diff still has a baseline).
## Guidelines
- Quantitative over vibes. Every narrative gets mindshare 1-5 and a velocity arrow — no exceptions. If you can't score it, drop it.
- Transitions > classification. A daily tracker's value is catching moves, not listing the weather.
- Named drivers only. "Crypto Twitter is excited about X" is not a driver. "@handle + @handle + @fund" is.
- Position calls are mandatory for Emerging/Rising/Peak narratives. If signals are genuinely ambiguous or contradictory, **WATCH** is an acceptable call — but never omit a position entirely and never invent conviction you don't have.
- Ruthless dedup. Same narrative under two labels = one narrative. Merge, don't split.
- Call out cope. Manufactured narratives, coordinated shilling, and dead-cat bounces get tagged explicitly.
- Prioritize topics tracked in MEMORY.md over generic market chatter.
## Fetching
`XAI_API_KEY` is **injected into this skill's environment** (declared in `requires:`). It is present and valid. **The primary fetch path is a direct `curl` to `https://api.x.ai/v1/responses` with `Authorization: Bearer {XAI_API_KEY}`** (model `grok-4.7`, `"tools":[{"type":"x_search"}]`). There is **no network sandbox** blocking this - earlier versions of this skill claimed there was, and that is stale and false. Just make the call.
Rules:
1. **Check, don't assume.** Run `[ -n "${XAI_API_KEY:+x}" ] && echo KEY_PRESENT || echo KEY_UNSET` (the `${VAR:+x}` form, not bare `$XAI_API_KEY` — the bare form trips the secret-expansion analyzer and falsely reads as unset). If `KEY_PRESENT` (it will be), Path A (the curl in step 1a) is required before any fallback.
2. **Allow enough time.** The `x_search` call typically takes 30-120s. When you invoke the Bash tool for the curl, **set the tool's `timeout` to at least 180000 (180s)** and keep **`--max-time 150`** on the curl so it fails cleanly rather than hanging. A slow curl is **not** a missing key — never treat a timeout as key-unavailable.
3. **Capture the HTTP status** so the fallback decision is fact-based (see the skeleton in step 1a). `HTTP=200` with a non-empty parsed body → use it.
4. **Fall back only on a real failure**, recording the true reason — `key-unset` (only if the check printed `KEY_UNSET`), `http-<code>` (non-2xx), `empty` (200 but nothing parsed), or `timeout`. Never write "XAI_API_KEY unavailable" when the key was set.
**WebSearch / WebFetch are last-resort fallbacks only** — lower quality, never primary or co-equal. Do not reach for them while the key works.
## Environment Variables Required
- `XAI_API_KEY` — X.AI API key for Grok's `x_search` tool. Declared in `requires:`, so it is **injected into this skill's environment** and is the **primary fetch path** for the narrative signal (step 1a). If it is ever unset, the skill degrades to WebSearch/WebFetch at lower quality.
- Notification channels configured via repo secrets (see CLAUDE.md).
© aeonfun · MIT · aeonfun/aeon