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 avizmarlon/agent-skills --skill compact-instructionsgit clone --depth 1 https://github.com/avizmarlon/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/avizmarlon/agent-skills/compact-instructions)<a href="https://agentmods.dev/skills/avizmarlon/agent-skills/compact-instructions"><img src="https://agentmods.dev/badge/skills/avizmarlon/agent-skills/compact-instructions/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/avizmarlon/agent-skills/compact-instructions"><img src="https://agentmods.dev/badge/skills/avizmarlon/agent-skills/compact-instructions.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 | $0.00046 | $0.00747 |
| Opus 5.5 | $0.00018 | $0.00299 |
| Sonnet 5.5 | $0.00009 | $0.00149 |
| Haiku 4.5 | $0.00005 | $0.00075 |
Grade A, and why
compact-instructions 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 2mo 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 — 58 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Compact Instructions: Context Preservation Strategy
When a Claude Code session approaches context-window limits and performs context compaction (manual /compact or automatic), the agent must balance information density with continuity. This skill defines what to preserve and what to discard.
What to Preserve
- Current objective / phase — one-line statement of what the session is actively working on
- Blockers and open blockers — issues preventing forward progress, with minimal context
- Decisions that remain valid — architectural or planning decisions made in earlier sessions that still apply
- Validation state — which tests are passing, which requirements are met, which gates are open/blocked
- Worktree / branch state — when relevant to resuming work (branch name, uncommitted changes, PR status)
- Next concrete step — what the next AI session should do immediately after loading context
What to Discard
- Resolved conversations — back-and-forth debugging or decision-making that concluded
- Repeated reasoning — the same analysis or explanation presented multiple times across the session
- Discarded attempts — approaches tried and rejected, unless the rejection reason remains strategically important
- Large tool outputs — full log dumps, verbose grep results, API responses in their entirety (keep only the relevant extracted data)
- Intermediate mental models — exploratory reasoning or "let me think through this" passages that didn't lead to decision
Critical Principle
The compact summary is a sketch, not a replacement for durable state. If the project has a session-handoff.md, PROGRESS.md, CHANGELOG.md, or equivalent living documentation, those files remain the source of truth. The compacted context is temporary and lossy — it buys context space in the current session, but it does not eliminate the need to maintain formal handoff documents for the next session.
If compaction is being used to work around missing handoff documentation, that is a symptom — fix the root cause (write the missing session-handoff.md or PROGRESS.md) rather than relying on compaction to carry state.
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.
- 2mo ago First seen · 58 lines · 46 tokens per session scan A 15d25daf21fe
compact-instructions is a skill published in the GitHub repository avizmarlon/agent-skills (2 stars, last pushed 4mo ago), licensed MIT. It adds 46 tokens to every session and 747 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-08-31.
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