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SKILL verified MIT Self-run

Lore Recall

skill-jordanhindo-lore-lore-recall · by jordanhindo

Plans and executes bounded Lore memory recall with status checks, query expansion, context drill-down, freshness labels, cited evidence packets, and retrieval-failure recovery. Use whenever an agent needs to answer from past Lore sessions, recall decisions, inspect last-session context, verify what happened before, or explain gaps without dumping transcripts.

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Install

$ agentstack add skill-jordanhindo-lore-lore-recall

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

Security review passed
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1mo ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

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About

Lore Recall

Use this workflow when past session memory matters. It sits above the low-level skills/lore CLI skill: use skills/lore for command mechanics and setup/indexing, use this skill for evidence planning, trust, freshness, and final packet shape.

Quick Start

  1. Run lore status --json with the narrowest useful scope (--project, --source, --since, --until) before retrieval.
  2. Build a recall plan: 2-4 query variants, likely filters, and why each query exists.
  3. Search narrowly first: lore search "" --json, then --relevant when recency matters.
  4. Drill down only from real ids returned by Lore: lore get --full, lore context --json, or lore session --around --json.
  5. Emit a bounded evidence packet using references/evidence-packet.md.
  6. If retrieval fails, report the gap and next queries tried. Do not invent memory.

Trust Rules

  • Lore transcripts are testimony, not truth. Current files, tests, runtime artifacts, and live system state beat stale transcript claims.
  • Never dump a whole session. Use search, one full message, or a bounded context/window.
  • Never invent ids. Every message/session id must come from Lore output.
  • Preserve provenance: message id, session id, source, project, branch, timestamp, role/model when known.
  • Unknown source data stays null or "unknown". Do not infer branch, project, model, or freshness.
  • Real transcript excerpts are private. In committed examples/evals use synthetic ids and text only.

Freshness Labels

Use labels from references/freshness.md:

  • current: corroborated by current files/tests/runtime.
  • recent: transcript timestamp is plausibly relevant and no contradiction found.
  • stale: older memory may have drifted or current artifacts disagree.
  • unknown: missing timestamp or insufficient provenance.

Failure Recovery

If status says missing_store, empty_store, source_absent, possibly_unsynced, stale_schema, or unreadable_store, stop and report the status plus recovery. If schemaVersion is greater than supportedSchemaVersion, say explicitly that read-only retrieval may work but write recovery such as lore sync can be refused until Lore is updated. If search returns zero hits, broaden once, try one synonym query, and report gaps instead of pretending.

References

  • references/evidence-packet.md for required output structure.
  • references/query-planning.md for query expansion and drill-down rules.
  • references/freshness.md for label semantics.
  • examples/ for good and bad packet patterns.

Validation

Run the deterministic checker on example packets:

node skills/lore-recall/scripts/validate-evidence-packet.mjs skills/lore-recall/examples/good-evidence-packet.json

Run the UPD-000 bundle gate before calling this skill done:

node skills/lore-dev-verification/scripts/validate-workflow-skill.mjs skills/lore-recall

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

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Versions

  • v0.1.0 Imported from the upstream source.