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 markoblogo/abvx-agent-skills --skill context-degradation-reviewgit clone --depth 1 https://github.com/markoblogo/abvx-agent-skillsWrote 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/markoblogo/abvx-agent-skills/context-degradation-review)<a href="https://agentmods.dev/skills/markoblogo/abvx-agent-skills/context-degradation-review"><img src="https://agentmods.dev/badge/skills/markoblogo/abvx-agent-skills/context-degradation-review/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/markoblogo/abvx-agent-skills/context-degradation-review"><img src="https://agentmods.dev/badge/skills/markoblogo/abvx-agent-skills/context-degradation-review.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 | $0.00059 | $0.00609 |
| Opus 5 | $0.00030 | $0.00304 |
| Sonnet 5 | $0.00012 | $0.00122 |
| Haiku 4.5 | $0.00006 | $0.00061 |
Grade A, and why
context-degradation-review 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 11d 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.
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.
How it starts
The opening of the file, as written. The whole thing — 65 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Context Degradation Review
Use this skill to find when the context itself is making the agent worse.
Use When
- a long session, handoff, or compaction summary may contain stale or conflicting instructions;
- a SET bundle, AGENTS.md, SKILL.md, or memory write mixes useful facts with outdated task history;
- the agent keeps optimizing for irrelevant prior work;
- tool output, logs, or retrieved docs may bury the decisive evidence;
- multiple sources disagree and the answer treats them as one coherent contract.
Failure Modes
lost-in-middle: key constraints are present but buried between low-signal material.context-poisoning: incorrect, stale, or speculative text is treated as authority.distraction: large but irrelevant context pulls work away from the current task.context-clash: two instructions, docs, memories, or artifacts conflict.stale-carryover: a prior goal continues after the user changed or stopped the task.
Workflow
- Identify the active task, current authority order, and expected output.
- List the context sources used: user message, repo files, memory, docs, tool output, web sources, generated summaries.
- Mark each source as
authoritative,supporting,stale-risk, orirrelevant. - Check for the five failure modes above.
- Propose the smallest context repair:
- remove or ignore a stale source;
- promote the decisive constraint near the active plan;
- split task history from durable guidance;
- ask for clarification only when the conflict blocks action;
- rewrite a handoff or memory proposal with source boundaries.
- Continue only after the active context is narrow enough to act safely.
Output Shape
Use:
- verdict:
CONTEXT_OK,CONTEXT_DEGRADED, orCONTEXT_BLOCKED; - active task;
- context sources reviewed;
- degradation findings by mode;
- smallest repair;
- remaining risk.
Guardrails
- Do not use this as a generic writing critique.
- Do not remove context just because it is long; remove or demote it only when it is low-signal, stale, or conflicting.
- Do not treat memory as higher authority than the current user message.
- Do not let stale rollout context override an explicit stop, pause, or changed task.
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 11d ago First seen · 65 lines · 59 tokens per session scan A 46ae36224617
context-degradation-review is a skill published in the GitHub repository markoblogo/abvx-agent-skills (16 stars, last pushed 2d ago), licensed MIT. It adds 59 tokens to every session and 609 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 2026-08-30.
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