Borrowing it
Nothing to install: this file belongs to egregore-labs/egregore. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/egregore-labs/egregore/main/.claude/skills/archive/SKILL.mdgit clone --depth 1 https://github.com/egregore-labs/egregoreWrote 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/egregore-labs/egregore/archive)<a href="https://agentmods.dev/skills/egregore-labs/egregore/archive"><img src="https://agentmods.dev/badge/skills/egregore-labs/egregore/archive/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/egregore-labs/egregore/archive"><img src="https://agentmods.dev/badge/skills/egregore-labs/egregore/archive.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Anti-Refusal · line 466 Skill instructs the agent to omit warnings, disclaimers, or ethical commentary. Stripping safety caveats hides risk from the user and is a common jailbreak preamble.Fix: Remove instructions that suppress warnings, disclaimers, or ethical commentary. Let the agent surface safety-relevant caveats to the user.
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 | $0.00040 | $0.00655 |
| Opus 5.5 | $0.00016 | $0.00262 |
| Sonnet 5.5 | $0.00008 | $0.00131 |
| Haiku 4.5 | $0.00004 | $0.00065 |
Grade A, and why
archive 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 24d 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 — 73 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Archive
Capture a reusable human-to-agent steering technique as a typed pattern with
subtype prompt-chain.
When to invoke
Capture an effective prompting or steering technique as a reusable canonical pattern. Use when a prompt chain worked especially well; use /reflect for insight about the work and /note for a private thought.
Modes
- No arguments: inspect this session for a meaningful steering chain. If the session is too short or no chain exists, ask the user to describe one.
- Arguments: treat them as the technique; a single principle is a one-move chain.
Each move records its type, trigger, intervention, effect, and distilled principle. Useful initial move types include inversion, calibration, scoping, elevation, reframing, grounding, sequencing, contradiction, analogy, and provocation; extend the vocabulary when needed.
Context and dedupe
Reuse attached EGREGORE_ORG_CONTEXT_V1 evidence. Do not repeat retrieval when
it already contains sufficient related patterns. If a named gap remains, make
one bash bin/search.sh query "<technique concept>" -n 6 call and open only a
likely duplicate through bash bin/search.sh open. Never query implementation
infrastructure or storage directly.
Flow
- Extract a chain name, when-to-use guidance, ordered moves, outcome, topics, workstream, and explicit relations.
- For a three-or-more move chain, show the complete breakdown. For shorter
chains, show the compact proposal. Wait for
y, edits, orskip. - Render the accepted pattern body to a temporary file under
tmp/and invoke exactly one canonical command;{artifact-file}is that file, and{chain-name},{topic}, and{workstream}come from the accepted chain proposal:
bash bin/knowledge.sh create \
--type pattern \
--subtype prompt-chain \
--title '{chain-name}' \
--input '{artifact-file}' \
--topic prompt-chain \
--topic '{topic}' \
--workstream '{workstream}'
Add --relationship "RELATION:TARGET" only for explicit links. The Runtime
resolves ActorContext, authorizes, assigns stable identity/provenance, persists
canonical Markdown, records Git provenance, refreshes retrieval, starts
background embedding, and emits content-free telemetry.
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.
- 24d ago Changed · -514 lines · -1 tokens per session 295590b09a46
- 1mo ago First seen · 587 lines · 41 tokens per session scan A feaddc0aa81e
archive is a skill published in the GitHub repository egregore-labs/egregore (293 stars, last pushed 9d ago), licensed MIT. It adds 40 tokens to every session and 655 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 2026-08-30.
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