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context-canary — Claude Code skill: catch context degradation early

Adds a per-turn canary line to every reply: your name, a turn counter, and an honest context self-check. You see the moment the agent stops holding early instructions.

Install into Claude Code · Skills CLI (Vercel) All methods and platforms ↓
npx skills add JuliusBrussee/skills --skill context-canary -a claude-code
Open on GitHub

What context-canary does

The skill installs a standing instruction: the first line of every response becomes a short marker like **Julius · t14 · ctx ok**. Each field probes something different. The name shows the instruction itself is still in working context. The turn counter climbs by one per reply, so a reset or a skip points at a summarization boundary. The self-check ctx ok / ctx aging / ctx thin is the agent's honest read on whether it still remembers early decisions or is rebuilding them.

Context degradation is quiet. A model won't announce that it stopped attending to instructions from the start of the session, and compaction summaries drop standing instructions without a word. The canary turns that into a binary check you can run in half a second. When the marker vanishes, the agent's grip on early context is slipping, and the failures you actually care about are close behind.

Two consecutive misses, a counter discontinuity, or the agent failing its own contract check counts as a confirmed trip. Then the skill walks through recovery: stop, checkpoint the durable state to a file such as HANDOFF.md, re-read CLAUDE.md and the original task, state your understanding back in a few lines, and start a fresh session seeded with that file. A canary kept only in the conversation tests conversation context; one written into CLAUDE.md survives compaction and therefore measures something weaker. The test is one-sided — a missing canary is strong evidence, a present one is weak.

What it helps with

  • notice the agent dropped instructions from the start of the session
  • catch the turn where compaction threw out standing instructions
  • tell real context loss apart from a vague feeling something is off
  • checkpoint task state before restarting a session
  • track where continuity in a long session broke

Example prompts for the agent

  • install a canary for this session, my name is Julius
  • run a canary check — how degraded is your context?
  • the canary stopped showing up, what happened?

How to install context-canary

1Skills CLI (Vercel)

npx skills add JuliusBrussee/skills --skill context-canary -a claude-code

2Manually: put the files in place

~/.claude/skills/context-canary/SKILL.md

Copy the whole skill folder; for one project use .claude/skills/context-canary/

Step by step, with commands for each platform: How to install skills in Claude Code: five ways

Questions about context-canary

How do I install context-canary in Claude?

Use the skills manager: npx skills add JuliusBrussee/skills --skill context-canary -a claude-code. The skill file lands at ~/.claude/skills/context-canary/SKILL.md.

What does context-canary do?

It puts a first line on every reply with your name, a turn counter and a context self-check. When the marker disappears or the counter breaks, the skill runs a recovery protocol.

How is a session canary different from a standing canary?

A session canary lives only in the conversation and detects compaction, truncation and drift. One written into CLAUDE.md survives compaction, so it only tests whether file-based instructions are being attended to — a weaker signal.

Source text

SKILL.md · MIT
---
name: context-canary
description: Install a per-turn canary signal (e.g. starting every reply with the user's name and a turn counter) so silent context degradation becomes visible the moment it happens, and run a recovery protocol when the canary trips. Use when the user mentions a "canary", "context canary", or "canary check", asks to detect context rot / compaction / drift, says "you stopped using my name" or "did you lose context", asks "how degraded is your context", or wants an early-warning system for long agent sessions.
---

# Context Canary

A context canary is a trivially checkable standing instruction whose only job is to fail visibly. The classic form: "start every response with my name." The agent costs almost nothing to comply — so when the name disappears, that absence is data. The instruction didn't get harder; the agent's hold on its early-context instructions got weaker. Like the coal-mine canary, it dies first, before the failures you actually care about (forgotten constraints, ignored conventions, re-litigated decisions) start landing in your code.

This works because context degradation is **silent and gradual**. Models don't announce that they've stopped attending to instructions from 80k tokens ago, and compaction summaries quietly drop standing instructions. The canary converts an invisible failure into a binary, per-turn, zero-effort check. The research behind why this happens — context rot, lost-in-the-middle, instruction drift, compaction loss — is in **[references/research.md](references/research.md)**.

## When to use this skill

- Installing a canary at the start of a long or high-stakes session.
- The user notices the canary stopped appearing and asks what happened.
- The agent itself realizes it can no longer find its canary contract in context.
- The user asks how trustworthy the current context still is.

## The canary contract

When invoked, install the canary by stating the contract explicitly in one short message, then follow it. Default format — first line of every response from then on:

```
**Julius · t14 · ctx ok**
```

Three fields, each probing something different:

| Field | Example | What its failure means |
|---|---|---|
| Name | `Julius` | The standing instruction itself fell out of effective context — adherence drift or compaction dropped it. |
| Turn counter | `t14` | Increment by 1 every response. A reset, skip, or repeat means continuity broke — almost always compaction or a summarization boundary. |
| Self-check | `ctx ok` / `ctx aging` / `ctx thin` | The agent's honest estimate. `aging`: the session is long and early details are getting summarized in its own working sense of the task. `thin`: the agent is reconstructing earlier decisions instead of remembering them. |

Use the user's actual name (ask if unknown). If the user wants the minimal version, name-only is fine — it's the original trick and still catches the big failures. Never explain, apologize for, or decorate the canary line; it must stay byte-stable so a human can pattern-match it in half a second.

**Session canary vs. standing canary.** A canary that lives only in the conversation tests whether *conversation* context survives (compaction, truncation, drift). A canary written into `CLAUDE.md` or agent memory survives compaction by design — which means it tests whether file-based instructions are being attended to, a different and weaker signal. Default to the session canary; that's the one that detects degradation. Offer the standing variant only if the user wants the habit across all sessions, and tell them what it no longer measures.

## Emission rules

1. Canary is the **first line** of every response, including short ones, error reports, and responses after tool calls.
2. Increment the counter every response. If unsure of the count, that uncertainty IS a signal — emit `t?` and flag it, never guess a plausible number.
3. The self-check must be honest. Reporting `ctx ok` by reflex defeats the entire instrument.
4. If at any point the canary contract cannot be found in context (you only know about it from a summary, or not at all), **declare a trip yourself** — don't wait for the user to notice.

## Trip protocol

A trip is: the canary missing, malformed, a counter discontinuity, or an agent-side self-declaration.

Calibrate before alarming — one missed canary on an otherwise coherent response is a warning (note it, resume the canary, keep going). **Two consecutive misses, a counter discontinuity, or the agent failing its own contract check is a confirmed trip.** Then:

1. **Stop trusting drifted state.** Do not barrel ahead on the current task using context you can no longer vouch for.
2. **Checkpoint.** Write the durable state somewhere outside the conversation: current goal, decisions made and why, files touched, what's verified vs. in-progress, next step. A `HANDOFF.md` or notes file in the repo works.
3. **Re-anchor.** Re-read the project instructions (`CLAUDE.md`, the original task statement) and the checkpoint. State back to the user, in three or four lines, what you believe the task and constraints are — so they can correct any drift cheaply.
4. **Reset deliberately.** Recommend the user start a fresh session (or run an explicit compact) seeded with the checkpoint file, rather than limping on. Degraded context doesn't heal; it compounds.
5. **Re-install the canary** with the counter reset to `t1`, noting the generation: `t1 (gen 2)`.

Never silently resume the canary after a gap as if nothing happened — that destroys the instrument's credibility, which is all it has.

## What the canary does and doesn't tell you

The test is one-sided. A **missing** canary is strong evidence of degradation. A **present** canary is weak evidence of health — a cheap stylistic habit can survive while harder constraints (architecture decisions, "never touch X") quietly rot, and a canary stuffed into memory files can outlive the context it was meant to monitor. Treat the canary as a smoke detector, not a structural inspection: when it fires, act; when it's quiet, stay reasonably suspicious in sessions past roughly 50% of the context window or after any compaction event.

Pair it with the cheap structural habits that reduce what the canary has to catch: keep durable decisions in files instead of chat, compact at deliberate boundaries instead of waiting for forced compaction, and prefer fresh sessions per task over one immortal session. Details and sources in **[references/research.md](references/research.md)**.

© JuliusBrussee · MIT · JuliusBrussee/skills

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