rekal-dev
Registry indexed
rekal
Use in a repo with Rekal initialized (.rekal/ exists). Rekal is memory of prior AI sessions — who changed what, why, and when. Before spending a token, decide WHERE the answer lives: TREE / KNOWLEDGE / LEDGER / MAP. Route to one substrate, act, and stay silent when memory is not
Overview
Use in a repo with Rekal initialized (.rekal/ exists). Rekal is memory of prior AI sessions — who changed what, why, and when. Before spending a token, decide WHERE the answer lives: TREE / KNOWLEDGE / LEDGER / MAP. Route to one substrate, act, and stay silent when memory is not the tool. Rekal's commands return compact agent-readable text by default; the judgment is yours.
Read full documentation
Source documentation, not instructions for this website. Review permissions before running any commands.
Rekal — which substrate answers this?
Most wasted effort is the wrong substrate. Decide before you grep or recall.
| Substrate | Holds | Tense | Reach it with | Answers |
|---|---|---|---|---|
| Tree | current code | now | grep / read | what does X do, where is it |
| Knowledge | current prose | now | rekal "<q>" → Read HEAD | convention / what we know |
| Ledger | session intent | past | rekal "<q>", drill rekal query --session | why, tried, rejected |
| Map | structure | — | map.sh + workflow | how is it built |
Boundary
- Is it true now, or something that was?
- Was — a reason, a rejected path, a past correction, or a fact whose only record is a past conversation → Ledger. (On a pure-dialogue corpus only the ledger has content — go there.)
- If now — code or prose?
- Code (path/symbol, present tense) → Tree. Grep; do not recall.
- Prose → Knowledge. Never invent an episode when HEAD prose answers.
grep for code that is · knowledge for prose that is · ledger for the why that was.
Commands — text by default, --json for machines
Rekal's read commands print compact agent-readable text; add --json only when
a program needs to parse it.
rekal "<q>"— recall. Prints a seed digest: line 1 is the verdict (INJECT/KNOWLEDGE/SILENCE), then per-seedsid conf=… t<n> "snippet". One call already widens itself — it fuses several deterministic reformulations of your query (keyword-only, clause splits, a temporal variant) so you get the full picture in one go; still reformulate by hand only when the answer needs a genuinely different angle the mechanical variants miss. A seed may carry[reached N× drilled M×· "past query"]before its snippet — a usage hint.reachedcounts how often the search surfaced it, which is the engine quoting itself: on a small store nearly everything is reached, so a bare high count means little.drilledcounts how often an agent opened it — that is the load-bearing signal and a good first drill. The echoed query is the one that most often surfaced this memory, so it shows how the need is usually framed. Neither raisesconf=— judge relevance fromconf=+ content as always. No tag just means newly surfaced, not worse.rekal find "<term>" [role]— every ledger mention of a term, complete and in time order (the "all / every / how many" sweep). A partial list is a wrong answer to a set question — this is the set.rekal query --session <sid|ulid> [--offset N --limit 5 --role …]— drill a session into readable turns.rekal query --sql "SELECT …"for analytical / complete-set SQL (seereferences/reference.mdfor the full schema;tsis a TIMESTAMP — useBETWEEN, notLIKE).
INJECT/SILENCE are recommendations, biased toward more data than
decision: only empty / near-zero absolute confidence is machine-silenced
(never max-normalized score — junk tops out near 1.0 too). Substrates are
inclusive — INJECT may carry a trailing KNOWLEDGE line. You judge from
conf= + content; a lexically thin dialogue hit still injects. On KNOWLEDGE path=score … judge the distribution: clear leader → Read its path at HEAD;
flat cluster → stay silent on prose.
Dispatch — route, then act
| The question is… | Do |
|---|---|
| Present prose / convention | rekal "<q>" → on KNOWLEDGE, Read the clear leader's path@lines |
| Past episode / why / tried / rejected | rekal "<q>" → on INJECT, Read references/ledger.md; drill rekal query --session <sid> --offset <t-2> --limit 5 |
| Weak recall (one call already fused reformulations) | re-search a genuinely different angle — synonyms, entity/path anchor, a re-split of a multi-hop question |
| All / every / how many mentions of a thing | rekal find "<term>" — complete sweep; then drill and judge (class-mapping, set size) |
| Relative "when" (last Saturday, a month ago) | ledger → classify at the workflow gate below (event-time) |
| Temporal, analytical, decision-arc, provenance | Read references/ledger.md — SQL via rekal query --sql "…"; don't rank a set |
| Breadth / structure | bash scripts/map.sh fresh then Read references/map.md |
Publish docs/wiki/ | bash scripts/wiki-gate.sh then Read references/wiki.md |
| Flags, SQL, PATH, schema | Read references/reference.md |
The command returns data; you decide the move. Cite session / turn / commit with every memory claim.
Ledger workflow gate
For a question routed to the ledger, classify the answer type before searching. Choose the first matching row and read exactly that workflow. Do not blend several workflows: concentrated guidance is more reliable than a pile of partially relevant checks.
- Elapsed time or duration between endpoints → Read
references/workflows/duration.md - A count, set, plural list, repeated events, or ordered history → Read
references/workflows/complete-set.md - A calendar time/date or temporal relation → Read
references/workflows/event-time.md - A qualified prediction, likelihood, possibility, or inference → Read
references/workflows/inference.md - A fact, episode, explanation, provenance, reflection, or other ledger answer → Read
references/workflows/point-fact.md
Classify by the form of the answer requested, not by incidental words: "Which events happened before June?" asks for a set, while "When did the event happen?" asks for event time. The workflow supplies evidence invariants and useful operations, never truth. The ledger remains authoritative; preserve genuine ambiguity and reject unsupported premises.
Final answer check
Before answering, silently compare the candidate answer with the requested actor, entity, relation, time scope, and answer type.
- Reject another speaker's fact, a nearby semantic slot, an adjacent event, or a suggestion or plan mistaken for a completed event.
- When event time is requested, resolve a source-relative expression against the historical assertion timestamp. A relative expression in the question is anchored to the asker's present. Preserve source precision.
- For a count or set, ensure members were enumerated across the requested scope, class-mapped when necessary, and deduplicated.
- Before answering "unknown," make one focused reformulation only when retrieved evidence signals that the exact fact may be buried.
- If a check fails, repair evidence gathering rather than weakening the evidence standard or satisfying a false premise.
Judgment — agent, not the command
- Only what the ledger holds. Do not invent or pad. If the record is thin, say so — or stay silent.
- A partial set is a wrong answer when the question asks for the set. Use
rekal find/ SQL and page until empty. Ranked recall is for pointed questions, not "all / which / how many / every beat of an arc." - Keep the record's precision. Month-only evidence supports a month, not an invented day; attribution stays as the record states it; don't fake precision the record lacks or tidy away genuine ambiguity. (A resolvable source-relative phrase is still converted — see the event-time workflow.)
- A false premise has no answer. When the question asserts something the record contradicts or never says, say that — never fabricate the asserted fact, and never silently answer a corrected question nobody asked.
- Drill the hit before concluding absence. A recalled seed you haven't drilled outranks any amount of tree-grepping; grep never answers a ledger question, and an empty stub greps forever.
Semantic warming
A SEMANTIC warming line means the deep-semantic daemon is still loading; those
results are keyword + LSA only. If the answer matters, re-run the same recall
with exponential backoff (2s, 4s, 8s) until it's gone; after ~three tries
proceed — the keyword layer stands on its own.
File metadata
name: rekal description: > Use in a repo with Rekal initialized (.rekal/ exists). Rekal is memory of prior AI sessions — who changed what, why, and when. Before spending a token, decide WHERE the answer lives: TREE / KNOWLEDGE / LEDGER / MAP. Route to one substrate, act, and stay silent when memory is not the tool. Rekal's commands return compact agent-readable text by default; the judgment is yours.
View original text
---
name: rekal
description: >
Use in a repo with Rekal initialized (.rekal/ exists). Rekal is memory of
prior AI sessions — who changed what, why, and when. Before spending a token,
decide WHERE the answer lives: TREE / KNOWLEDGE / LEDGER / MAP. Route to one
substrate, act, and stay silent when memory is not the tool. Rekal's commands
return compact agent-readable text by default; the judgment is yours.
---
# Rekal — which substrate answers this?
Most wasted effort is the wrong substrate. Decide before you grep or recall.
| Substrate | Holds | Tense | Reach it with | Answers |
|---|---|---|---|---|
| Tree | current code | now | grep / read | what does X do, where is it |
| Knowledge | current prose | now | `rekal "<q>"` → Read HEAD | convention / what we know |
| Ledger | session intent | past | `rekal "<q>"`, drill `rekal query --session` | why, tried, rejected |
| Map | structure | — | `map.sh` + workflow | how is it built |
## Boundary
1. Is it true **now**, or something that **was**?
- **Was** — a reason, a rejected path, a past correction, or a fact whose only
record is a past conversation → **Ledger**. (On a pure-dialogue corpus only
the ledger has content — go there.)
2. If now — **code** or **prose**?
- **Code** (path/symbol, present tense) → **Tree**. Grep; do not recall.
- **Prose** → **Knowledge**. Never invent an episode when HEAD prose answers.
grep for code that is · knowledge for prose that is · ledger for the why that was.
## Commands — text by default, `--json` for machines
Rekal's read commands print compact agent-readable text; add `--json` only when
a program needs to parse it.
- `rekal "<q>"` — recall. Prints a **seed digest**: line 1 is the verdict
(`INJECT` / `KNOWLEDGE` / `SILENCE`), then per-seed `sid conf=… t<n> "snippet"`.
One call already **widens itself** — it fuses several deterministic
reformulations of your query (keyword-only, clause splits, a temporal variant)
so you get the full picture in one go; still reformulate *by hand* only when
the answer needs a genuinely different angle the mechanical variants miss.
A seed may carry `[reached N× drilled M×· "past query"]` before its snippet —
a **usage** hint. `reached` counts how often the search surfaced it, which is
the engine quoting itself: on a small store nearly everything is reached, so
a bare high count means little. `drilled` counts how often an agent opened
it — that is the load-bearing signal and a good first drill. The echoed query
is the one that most often surfaced this memory, so it shows how the need is
usually framed. Neither raises `conf=` — judge relevance from `conf=` +
content as always. No tag just means newly surfaced, not worse.
- `rekal find "<term>" [role]` — every ledger mention of a term, complete and in
time order (the "all / every / how many" sweep). A partial list is a wrong
answer to a set question — this is the set.
- `rekal query --session <sid|ulid> [--offset N --limit 5 --role …]` — drill a
session into readable turns. `rekal query --sql "SELECT …"` for analytical /
complete-set SQL (see `references/reference.md` for the full schema; `ts` is a
TIMESTAMP — use `BETWEEN`, not `LIKE`).
`INJECT`/`SILENCE` are **recommendations**, biased toward more data than
decision: only empty / near-zero absolute `confidence` is machine-silenced
(never max-normalized score — junk tops out near 1.0 too). Substrates are
inclusive — `INJECT` may carry a trailing `KNOWLEDGE` line. **You** judge from
`conf=` + content; a lexically thin dialogue hit still injects. On `KNOWLEDGE
path=score …` judge the distribution: clear leader → Read its `path` at HEAD;
flat cluster → stay silent on prose.
## Dispatch — route, then act
| The question is… | Do |
|---|---|
| Present prose / convention | `rekal "<q>"` → on `KNOWLEDGE`, Read the clear leader's `path`@`lines` |
| Past episode / why / tried / rejected | `rekal "<q>"` → on `INJECT`, `Read references/ledger.md`; drill `rekal query --session <sid> --offset <t-2> --limit 5` |
| Weak recall (one call already fused reformulations) | re-search a genuinely different angle — synonyms, entity/path anchor, a re-split of a multi-hop question |
| All / every / how many mentions of a thing | `rekal find "<term>"` — complete sweep; then drill and judge (class-mapping, set size) |
| Relative "when" (last Saturday, a month ago) | ledger → classify at the workflow gate below (event-time) |
| Temporal, analytical, decision-arc, provenance | `Read references/ledger.md` — SQL via `rekal query --sql "…"`; don't rank a set |
| Breadth / structure | `bash scripts/map.sh fresh` then `Read references/map.md` |
| Publish `docs/wiki/` | `bash scripts/wiki-gate.sh` then `Read references/wiki.md` |
| Flags, SQL, PATH, schema | `Read references/reference.md` |
The command returns data; you decide the move. Cite session / turn / commit with
every memory claim.
## Ledger workflow gate
For a question routed to the ledger, classify the answer type before searching.
Choose the first matching row and read exactly that workflow. Do not blend
several workflows: concentrated guidance is more reliable than a pile of
partially relevant checks.
1. Elapsed time or duration between endpoints → Read `references/workflows/duration.md`
2. A count, set, plural list, repeated events, or ordered history → Read `references/workflows/complete-set.md`
3. A calendar time/date or temporal relation → Read `references/workflows/event-time.md`
4. A qualified prediction, likelihood, possibility, or inference → Read `references/workflows/inference.md`
5. A fact, episode, explanation, provenance, reflection, or other ledger answer → Read `references/workflows/point-fact.md`
Classify by the form of the answer requested, not by incidental words: "Which
events happened before June?" asks for a set, while "When did the event happen?"
asks for event time. The workflow supplies evidence invariants and useful
operations, never truth. The ledger remains authoritative; preserve genuine
ambiguity and reject unsupported premises.
### Final answer check
Before answering, silently compare the candidate answer with the requested
actor, entity, relation, time scope, and answer type.
- Reject another speaker's fact, a nearby semantic slot, an adjacent event, or a
suggestion or plan mistaken for a completed event.
- When event time is requested, resolve a source-relative expression against the
historical assertion timestamp. A relative expression in the question is
anchored to the asker's present. Preserve source precision.
- For a count or set, ensure members were enumerated across the requested scope,
class-mapped when necessary, and deduplicated.
- Before answering "unknown," make one focused reformulation only when retrieved
evidence signals that the exact fact may be buried.
- If a check fails, repair evidence gathering rather than weakening the evidence
standard or satisfying a false premise.
## Judgment — agent, not the command
- **Only what the ledger holds.** Do not invent or pad. If the record is thin,
say so — or stay silent.
- **A partial set is a wrong answer when the question asks for the set.** Use
`rekal find` / SQL and page until empty. Ranked recall is for pointed
questions, not "all / which / how many / every beat of an arc."
- **Keep the record's precision.** Month-only evidence supports a month, not an
invented day; attribution stays as the record states it; don't fake precision
the record lacks or tidy away genuine ambiguity. (A resolvable source-relative
phrase is still converted — see the event-time workflow.)
- **A false premise has no answer.** When the question asserts something the
record contradicts or never says, say that — never fabricate the asserted
fact, and never silently answer a corrected question nobody asked.
- **Drill the hit before concluding absence.** A recalled seed you haven't
drilled outranks any amount of tree-grepping; grep never answers a ledger
question, and an empty stub greps forever.
## Semantic warming
A `SEMANTIC warming` line means the deep-semantic daemon is still loading; those
results are keyword + LSA only. If the answer matters, re-run the same recall
with exponential backoff (2s, 4s, 8s) until it's gone; after ~three tries
proceed — the keyword layer stands on its own.
Review the source
Price & running costs
- Get the skill
- Price unconfirmed
- Run it
- Requirements have not been confirmed. Check the source for agent, API and service charges.
- License
- Apache-2.0
- Price unconfirmed
- We have not confirmed a price for this skill. Existing source and install links remain available.
Free to get does not mean free to run. Price labels are not safety ratings. Submit pricing information →
Skill source recorded
Skill instructions are recorded. This is not a runtime test, safety guarantee or compatibility certification.
Review before install: Avoid automatic install
License: Apache-2.0
- Dependency or permission surface needs review
- Permission surface may require sandboxing
- Skill depends on external `rekal` CLI and scripts (map.sh, wiki-gate.sh) that are not bundled; this is acceptable but should be clearly documented as a prerequisite.
- The SKILL.md excerpt in the prompt is truncated, but the full file is complete and coherent.
- Quality score needs review
- Permission surface needs review: secrets or environment access, shell or command execution
- Stars/forks activity: 176 stars, 2 forks; issue activity unavailable in current metadata
- Dependency/runtime risk: command execution surface, credential or environment access
- Permission surface: secrets or environment access, shell or command execution
Listed tools are metadata hints, not tested compatibility. Agent prompts are suggested handoffs.
Start with one small task
- 1Read the source. Confirm the input, expected output, dependencies and permissions.
- 2Ask your agent for a plan. Approve setup and any costs before running a small isolated test.
- 3Check the output and changed files. Report only what actually ran; keep the source revision for reproduction.
Check the source for dependencies, API keys and third-party costs. A public repository does not mean every service is free.
Source & usage notes
Indexed
Repository metadata and review signals are advisory. Popularity, source discovery and successful execution are different facts.
- Source repository
- rekal-dev/rekal-cli
- License
- Apache-2.0
- Version
- 1.0.0
- Last GitHub push
- Aug 4, 2026
- Registry updated
- Sep 7, 2026
- Instruction path
- cmd/rekal/cli/skill/skills/rekal/SKILL.md @ aace7a29af3e
Version reported in registry metadata; check source releases before relying on it.
Quality
63/100
Promising
Trust
56/100
Do not auto-install
Audit
71/100
Needs review
- Dependency or permission surface needs review
- Permission surface may require sandboxing
- Skill depends on external `rekal` CLI and scripts (map.sh, wiki-gate.sh) that are not bundled; this is acceptable but should be clearly documented as a prerequisite.
- The SKILL.md excerpt in the prompt is truncated, but the full file is complete and coherent.
- Quality score needs review
- Permission surface needs review: secrets or environment access, shell or command execution
- Stars/forks activity: 176 stars, 2 forks; issue activity unavailable in current metadata
- Dependency/runtime risk: command execution surface, credential or environment access
- Permission surface: secrets or environment access, shell or command execution
- Verified installs
- —
- Outcomes
- —
Copies are not installs. Installation counts require a reported successful installation; they are not a blanket quality guarantee.
Agent access
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
More details
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"setup_required": 0,
"avg_output_quality": null,
"production_outcomes": 0,
"last_outcome_at": null,
"label": "No agent outcome data yet"
},
"auto_install": {
"allowed": false,
"sandbox_required": true,
"reason": "Do not auto-install. Inspect the source, dependencies, and permission surface first."
},
"best_for": [
"automation",
"agent-skill"
],
"known_risks": [
"Skill depends on external `rekal` CLI and scripts (map.sh, wiki-gate.sh) that are not bundled; this is acceptable but should be clearly documented as a prerequisite.",
"Quality score needs review",
"Permission surface needs review: secrets or environment access, shell or command execution",
"Stars/forks activity: 176 stars, 2 forks; issue activity unavailable in current metadata",
"Dependency/runtime risk: command execution surface, credential or environment access",
"Permission surface: secrets or environment access, shell or command execution"
]
},
"agent_proven": {
"version": "agent-proven-v1",
"score": 0,
"tier": "unproven",
"label": "Needs first agent run",
"summary": "No agent outcome reports yet. Use Resolve, run one narrow sandbox task, then report the result.",
"metrics": {
"totalOutcomes": 0,
"successfulOutcomes": 0,
"failedOutcomes": 0,
"installAttempts": 0,
"installSuccessRate": null,
"successRate": null,
"recentSuccessRate": null,
"recentFailureRate": null,
"riskBlocked": 0,
"setupRequired": 0,
"notRelevant": 0,
"avgOutputQuality": null,
"avgTimeToUsefulMs": null,
"productionOutcomes": 0,
"humanReviewRequired": 0,
"uniqueAgents": 0,
"lastOutcomeAt": null
},
"signals": [],
"penalties": [
"No real agent outcome evidence yet"
]
},
"audit": {
"score": 71,
"risk_level": "needs_review",
"risk_label": "Needs review",
"warnings": [
"Dependency or permission surface needs review",
"Permission surface may require sandboxing",
"Skill depends on external `rekal` CLI and scripts (map.sh, wiki-gate.sh) that are not bundled; this is acceptable but should be clearly documented as a prerequisite.",
"The SKILL.md excerpt in the prompt is truncated, but the full file is complete and coherent.",
"Quality score needs review",
"Permission surface needs review: secrets or environment access, shell or command execution",
"Stars/forks activity: 176 stars, 2 forks; issue activity unavailable in current metadata",
"Dependency/runtime risk: command execution surface, credential or environment access"
]
},
"safety_gate": {
"tier": "blocked",
"label": "Blocked for auto-install",
"auto_install_policy": "block",
"auto_install_allowed": false,
"human_review_required": true,
"blocked": true,
"recommended_action": "Do not auto-install. Inspect the source, dependencies, and permission surface first."
},
"quality": {
"score": 63,
"label": "Promising"
},
"supply": {
"track": "Research and knowledge work",
"scenario": "RAG and knowledge",
"maintenance": "2mo since push",
"risk": "Needs review"
},
"alternative_skills": [],
"do_not_use_when": [
"teams that need a vendor-supported SLA",
"production agents without a repository review",
"Skill depends on external `rekal` CLI and scripts (map.sh, wiki-gate.sh) that are not bundled; this is acceptable but should be clearly documented as a prerequisite.",
"High-risk permission hints: Shell or command execution, Secrets or environment access",
"Dependency or permission surface needs review",
"Permission surface may require sandboxing",
"The SKILL.md excerpt in the prompt is truncated, but the full file is complete and coherent.",
"Quality score needs review"
],
"agent_contract": {
"task_input": "Use rekal in an agent workflow",
"recommended_action": "Do not auto-install. Inspect the source, dependencies, and permission surface first.",
"install_policy": "block",
"minimum_review_before_use": [
"Trust: 64/100 Manual review",
"Audit: 71/100 Needs review",
"Safety: 23/100 Avoid automatic install",
"Review repository, license, install command, and permission surface before production use."
],
"expected_agent_output": {
"selected_skill": "rekal-dev-rekal (rekal)",
"install_command": "npx skills add rekal-dev/rekal-cli --skill rekal",
"risk_summary": "Needs review; Blocked for auto-install; Review before production",
"verification_result": "Report the smallest successful task, files touched, warnings, and any missing setup."
}
},
"outcome_feedback": {
"endpoint": "https://www.openagentskill.com/api/agent/outcome",
"method": "POST",
"requires_resolve_event_id": true,
"event_id_source": "Use install_receipt.outcome_feedback.event_id or feedback.event_id returned by /api/agent/resolve for the current task.",
"expected_outcomes": [
"success",
"failed",
"not_relevant",
"blocked_by_risk",
"setup_required"
],
"payload_template": {
"event_id": "<install_receipt.outcome_feedback.event_id or feedback.event_id from /api/agent/resolve>",
"skill_slug": "rekal-dev-rekal",
"task": "Use rekal in an agent workflow",
"agent": "codex",
"outcome": "success",
"install_used": true,
"risk_blocked": false,
"setup_required": false,
"task_success": true,
"output_quality": 4,
"error_type": null,
"human_review_required": false,
"workspace": "sandbox",
"time_to_useful_ms": 120000,
"notes": "Report the smallest successful task, setup friction, files touched, and risk notes."
}
},
"endpoints": {
"web": "https://www.openagentskill.com/skills/rekal-dev-rekal",
"api": "https://www.openagentskill.com/api/agent/skills/rekal-dev-rekal",
"audit": "https://www.openagentskill.com/skills/rekal-dev-rekal/audit",
"eval": "https://www.openagentskill.com/api/agent/evals?slug=rekal-dev-rekal&task=Use%20rekal%20in%20an%20agent%20workflow&max_risk=medium",
"resolve": "https://www.openagentskill.com/api/agent/resolve?task=Use%20rekal%20in%20an%20agent%20workflow&agent=codex&max_risk=medium",
"receipt": "https://www.openagentskill.com/api/agent/receipt?task=Use%20rekal%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text",
"install": "https://www.openagentskill.com/api/skills/rekal-dev-rekal/install",
"manifest": "https://www.openagentskill.com/api/registry/manifest/rekal-dev-rekal"
}
}For the creator
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- Creator
- rekal-dev
- Source
- rekal-dev/rekal-cli
- Indexed by
- OpenAgentSkill community index
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