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 mnlt/teleport --skill wellreadgit clone --depth 1 https://github.com/mnlt/teleportWrote 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/mnlt/teleport/wellread)<a href="https://agentmods.dev/skills/mnlt/teleport/wellread"><img src="https://agentmods.dev/badge/skills/mnlt/teleport/wellread/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/mnlt/teleport/wellread"><img src="https://agentmods.dev/badge/skills/mnlt/teleport/wellread.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00082 | $0.02323 |
| Opus 5.5 | $0.00033 | $0.00929 |
| Sonnet 5.5 | $0.00016 | $0.00465 |
| Haiku 4.5 | $0.00008 | $0.00232 |
Grade B, and why
wellread scanned grade B with 2 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Reads agent configuration directoriesmediumAgent snooping
.claude/, .codex/, .gemini/ hold keys, settings and other credentials a mod has no legitimate need for.
**Do NOT suggest editing `~/.claude/settings.local.json` manually.** `teleport-setup add-key wellread` auto-registers the user and saves the key. Stop execution until the user has run the command and restarted. Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
INIT_RESP=$(curl -sSi -X POST "https://wellread-production.up.railway.app/mcp" \ How it starts
The opening of the file, as written. The whole thing — 168 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Wellread
Collective memory for AI coding agents — skip re-researching what others paid for. Backend: MCP Streamable HTTP (JSON-RPC + session-id header), not REST.
Usage
- Use for: before
WebSearch/WebFetchon a library/API/framework question; after deep web research (save); checking whether prior notes are stillfresh. - Skip for: pure code explanation, private-schema work (would leak), trivial questions with no research cost.
Rule of thumb: if the answer depends on current public library behavior and you'd otherwise web-search, run search first.
Credentials check
[ -n "$WELLREAD_API_KEY" ] && echo "WELLREAD_API_KEY: PRESENT" || echo "WELLREAD_API_KEY: MISSING"
Never echo the variable directly.
If MISSING, respond to the user with EXACTLY this message (do NOT paraphrase, do NOT suggest manual JSON edits):
I need a wellread credential. Run this in another terminal — teleport will register you in one call and save the key:
teleport-setup add-key wellreadNo signup page, no email — it's anonymous and instant. Then restart Claude Code (
/exit, thenclaude) and ask me again.
Do NOT suggest editing ~/.claude/settings.local.json manually. teleport-setup add-key wellread auto-registers the user and saves the key. Stop execution until the user has run the command and restarted.
API
- Endpoint:
https://wellread-production.up.railway.app/mcp - Transport: MCP Streamable HTTP (JSON-RPC over HTTP with session-id header)
- Auth:
Authorization: Bearer $WELLREAD_API_KEY - Required headers on every call:
Content-Type: application/jsonAccept: application/json, text/event-streamMcp-Session-Id: <uuid>(after initialize — see below)
Responses are SSE-style: lines prefixed with event: and data:. The actual JSON is the data: line.
Session handshake (once per invocation)
# 1) Initialize, capture Mcp-Session-Id from response headers.
INIT_RESP=$(curl -sSi -X POST "https://wellread-production.up.railway.app/mcp" \
-H "Authorization: Bearer $WELLREAD_API_KEY" \
-H "Content-Type: application/json" \
-H "Accept: application/json, text/event-stream" \
-d '{"jsonrpc":"2.0","id":1,"method":"initialize","params":{"protocolVersion":"2024-11-05","capabilities":{},"clientInfo":{"name":"teleport-skill","version":"0.1"}}}')
SID=$(echo "$INIT_RESP" | awk 'BEGIN{IGNORECASE=1} /^mcp-session-id:/ {print $2}' | tr -d '\r')
# Verify SID is a UUID; bail if empty.
# 2) Send 'initialized' notification (no id, no response expected).
curl -sS -X POST "https://wellread-production.up.railway.app/mcp" \
-H "Authorization: Bearer $WELLREAD_API_KEY" \
-H "Mcp-Session-Id: $SID" \
-H "Content-Type: application/json" \
-H "Accept: application/json, text/event-stream" \
-d '{"jsonrpc":"2.0","method":"notifications/initialized"}'
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 · 168 lines · 82 tokens per session scan B a945153a9b71
wellread is a skill published in the GitHub repository mnlt/teleport (8 stars, last pushed 5mo ago), licensed MIT. It adds 82 tokens to every session and 2,323 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it B with 2 findings (reads agent configuration directories, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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