continuum-observability

continuum-observability is a skill for Claude Code, Codex from shyftlabs/continuum. It costs 70 tokens per session (1,294 once invoked), scanned A, original, Apache-2.0.

Trace agent runs with Langfuse, decorate functions with @observe, collect latency/token/error metrics, and report errors. Invoke when the user asks about "see what the LLM was prompted with", "Langfuse traces", "track latency", "metrics dashboard", "error reporting", or "instrument my function".

Skill for Claude CodeCodex

Install

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.

agentmods
npx agentmods add skills/shyftlabs/continuum/continuum-observability
Any agent
npx skills add shyftlabs/continuum --skill continuum-observability
Clone the repo
git clone --depth 1 https://github.com/shyftlabs/continuum

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 continuum-observability

README.md
[![agentmods](https://agentmods.dev/badge/skills/shyftlabs/continuum/continuum-observability.svg)](https://agentmods.dev/skills/shyftlabs/continuum/continuum-observability)
Your own site
<a href="https://agentmods.dev/skills/shyftlabs/continuum/continuum-observability"><img src="https://agentmods.dev/badge/skills/shyftlabs/continuum/continuum-observability.svg" alt="Measured on agentmods" height="20"></a>
Per session 70 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,294 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin unknown 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 $0.00070 $0.01294
Opus 5 $0.00035 $0.00647
Sonnet 5 $0.00014 $0.00259
Haiku 4.5 $0.00007 $0.00129

Measured today against content hash 1a2a91628edd, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

continuum-observability scanned grade A with 0 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 today.

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.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

.claude/skills/continuum-observability/SKILL.md · 209 lines

How it starts

The opening of the file, as written. The whole thing — 209 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Continuum Observability Skill

Authoritative source: docs/observability.md.


Quick start

Tracing is on by default if Langfuse is configured.

docker compose --profile observability up -d              # brings up Langfuse on :3000
LANGFUSE_ENABLED=true
LANGFUSE_HOST=http://localhost:3000
LANGFUSE_PUBLIC_KEY=…                                      # from Langfuse UI
LANGFUSE_SECRET_KEY=…

Open http://localhost:3000 — every agent run, LLM call, and tool call shows up automatically.

To disable: LANGFUSE_ENABLED=false.


Trace your own functions

from continuum.observability import observe, SpanLevel

@observe(name="my-pipeline", capture_input=True, capture_output=True,
         metadata={"version": "v2"}, level=SpanLevel.DEFAULT)
async def run_pipeline(data):
    ...

Specialized variants:

from continuum.observability import trace_tool, trace_agent

@trace_tool(name="search_db", tool_type="database")
def search_db(query): ...

@trace_agent
async def my_custom_agent_runner(...): ...

Manual spans

from continuum.core.container import get_container

mgr = get_container().tracing_manager

with mgr.trace(name="onboarding", user_id="u1", session_id="s1",
               metadata={"tier": "pro"}, tags=["beta"]) as trace:
    with mgr.span(name="step-1", input={"foo": 1}) as span:
        span.event(name="cache-hit")
        span.score(name="quality", value=0.92)

Generation spans (LLM calls):

with mgr.span(name="step") as span:
    gen = span.generation(name="llm-call", model="gpt-4o-mini",
                          input=messages)
    # … call the LLM …
    gen.end(output=response_text,
            usage_prompt_tokens=120, usage_completion_tokens=80, usage_total_tokens=200)

Async-safe trace context

from continuum.observability import (
    set_trace_context, restore_trace_context,
    get_current_trace_id, get_current_session_id, get_current_user_id,
)

token = set_trace_context(trace_id="abc", user_id="u1", session_id="s1")
try:
    await client.chat(messages)                # inherits the trace context
finally:
    restore_trace_context(token)

Read the full file on GitHub · 209 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. today First seen · 209 lines · 70 tokens per session scan A 1a2a91628edd

Subscribe to this mod's changes

continuum-observability is a skill published in the GitHub repository shyftlabs/continuum (84 stars, last pushed today), licensed Apache-2.0. It adds 70 tokens to every session and 1,294 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.

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