agentleFS
MiroSharkMiroShark/miroshark-aeon/skills/heartbeat/SKILL.md

heartbeat

Skill20 starsChanged 23 days agoMITView on GitHub

Ambient fleet-health check that surfaces anything worth attention (default), or an on-demand priority brief - the 3 things to focus on, why now, and what moved (var=brief)

  • Reads credentials

18 other projects use a version of this, 2 of them edited.

Adopted by

Most recently taken up by

Used with

Projects with it also use ecosystem-reference, fractal-delegation and 10 more.

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Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
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The file

Show its rules and text

We split this skill into the rules it gives an agent

26 rules. 0 are common, 7 are distinctive, and 19 are very specific to this project.

  • 0

    Common

    Most of the 16 edited versions we read keep these.

  • 7

    Distinctive

    This author's own choices. Worth a look.

  • 19

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Very specific:

    Read memory/MEMORY.md and the last 2 days of memory/logs/ for context.

    line 26
  2. Very specific:

    If ${var} is set to a focus area, focus checks on that specific area.

    line 38
  3. Very specific:

    Self-check: only if heartbeat's own entry has ≥1 success (total_successes ≥ 1) and its last_success is >36 hours ago, note that heartbeat …

    line 77
  4. Very specific:

    Read aeon.yml for enabled skills with schedules.

    line 90
  5. Distinctive:

    If an enabled skill has no entry at all in the state file, it has never been dispatched by the scheduler.

    line 91
  6. Very specific:

    If a skill's last_success is >2x its schedule interval old (e.g., a daily skill hasn't succeeded in >48h), flag it.

    line 92
  7. Very specific:

    Do NOT use gh run list for this — the state file is authoritative.

    line 96
  8. Very specific:

    Before sending any notification, grep memory/logs/ for the same item.

    line 100
  9. Very specific:

    After the priority checks (even when everything is green — this step always runs), regenerate docs/status.md so it reflects current fleet …

    line 111
  10. Distinctive:

    Run time first: Before writing the page, run this as its own call and keep what it prints as NOW:

    line 113
  11. Very specific:

    Write docs/status.md with frontmatter so it renders as a status page:

    line 139
  12. Very specific:

    Never expose values from .env, secrets, or anything outside cron-state.json + issues/INDEX.md + aeon.yml + …

    line 193
  13. Very specific:

    Staleness: if the picked file's date is older than 24h relative to the heartbeat run timestamp, render _No recent token data (latest report …

    line 197
  14. Very specific:

    Token symbol: read from memory/MEMORY.md "Tracked Token" table (first row, Token column).

    line 199
  15. Very specific:

    Verdict line: if the source article contains a Verdict: LABEL line, append · verdict: LABEL to the source line.

    line 207
  16. Very specific:

    If nothing needs attention, log "HEARTBEAT_OK" (plus the overall status page verdict, e.g.

    line 214
  17. Distinctive:

    If something needs attention:

    line 218
  18. Very specific:

    Write a single concise notification (grouped by priority as above) to a file such as /tmp/heartbeat.md and send it with ./notify -f …

    line 219
  19. Very specific:

    Keep at most 3 focus items.

    line 248
  20. Distinctive:

    Every focus item should state *why now* in ≤12 words.

    line 276
  21. Distinctive:

    No throat-clearing ("here's your briefing…").

    line 278
  22. Distinctive:

    No empty sections — omit rather than print "(none)".

    line 279
  23. Very specific:

    If fewer than 3 candidates survive the why-now bar, allow up to 1 background item (tagged background: instead of why now:) so the brief …

    line 280
  24. Very specific:

    If soul files under soul/ are populated, match that voice.

    line 281
  25. Very specific:

    Write the formatted brief to a file (e.g.

    line 285
  26. Distinctive:

    If the key is set and Resend returns an error, log the full error body and fail loudly (do not silently continue) — a real send failure is …

    line 306

“Common” is measured: kept by at least 6 in 10 of the 16 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

${var} — selector. Empty (default) = the ambient fleet check — the live path a cron runs once a day; leave it empty for the scheduled run. brief = the priority brief. See the grammar below.

Selector / ${var} grammar

  • `` (empty) - Ambient check across all skills / PRs / issues, and regenerate the public status page. This is the live, scheduled path (once a day, on its aeon.yml schedule); its behaviour is unchanged. Leave ${var} empty for the cron.
  • <area> (any non-empty value that is not brief, e.g. crypto, prs) — Ambient check, with the checks focused on that area (original heartbeat focus-area behaviour).
  • brief — Priority brief: rank the 3 things to focus on today, why now, and what moved since yesterday; send via ./notify + email.
  • brief:<area> (e.g. brief:crypto) — Priority brief biased toward <area>.

Shared setup (every run)

Read memory/MEMORY.md and the last 2 days of memory/logs/ for context.

Parse ${var} to pick the branch:

  • starts with brief (i.e. brief or brief:<area>) → run the Priority brief branch. Any text after brief: is the emphasis area.
  • otherwise (empty, or any other value) → run the Ambient check branch. A non-empty value is the focus area; empty runs all checks.

The two branches are mutually exclusive — run exactly one per invocation.


Ambient check (default — empty ${var}; the LIVE scheduled path)

If ${var} is set to a focus area, focus checks on that specific area.

Checks (in priority order)

P0 — Failed & stuck skills (check first)

Read memory/cron-state.json. If the file is missing or empty (e.g. a fresh fork whose scheduler hasn't written it yet), treat state as empty: report no cron-state yet for the P0 tier, skip the failure/degradation checks below, and still render the status page (every enabled skill shows not yet run). This file tracks every scheduled skill's state and quality metrics:

{
  "skill-name": {
    "last_dispatch": "2026-04-06T12:00:00Z",
    "last_status": "dispatched|success|failed",
    "last_success": "2026-04-06T12:05:00Z",
    "last_failed": "2026-04-05T12:03:00Z",
    "total_runs": 10,
    "total_successes": 8,
    "total_failures": 2,
    "consecutive_failures": 0,
    "success_rate": 0.80,
    "last_quality_score": 4,
    "last_error": "error signature text"
  }
}

Bootstrap grace (fresh / warming-up fleets). Before flagging anything, decide whether the fleet has completed any run yet. A skill has completed a run if its entry has total_runs ≥ 1 or a non-null last_success/last_failed. A skill that only ever shows last_status: "dispatched" (or has no entry) has not completed a run — it is warming up, the normal state right after a fork or after a skill is enabled, not a failure. The scheduler stamps dispatched at run start and the outcome only lands after the run finishes, so a just-dispatched skill legitimately has no outcome yet.

  • If no skill has completed any run yet, the whole fleet is bootstrapping — expected on a fresh fork. Do not flag warming-up skills as failed or stuck, do not fire a notification, and set the overall status to 🟢 OK with a warming-up note (see Overall status). Still render the status page (skills show ⏳ warming up / not yet run), then end.
  • Otherwise (some skills have completed runs) run the checks below, but keep the distinction: a skill that has never completed a run is never a 🔴 "stuck" — it belongs on the softer warming-up line.

Self-reference. Heartbeat is, by definition, running right now, so its own entry is never evidence of a problem:

  • Exclude heartbeat's own entry from the Stuck check. Its dispatched watermark is just the current (or a prior in-flight) heartbeat run.
  • The Self-check below fires only once heartbeat has succeeded at least once. A never-succeeded heartbeat is bootstrap, not degradation — its first success only lands after this run finishes, so "no success yet" must never turn the page red.

Flag these conditions:

  • Failed skills: any entry with last_status: "failed". Report the skill name and when it failed. (A skill whose only recorded outcome is a failure is still a completed run — report it; the severity rules decide whether it reddens the page.)
  • Stuck skills: any entry (excluding heartbeat itself) with last_status: "dispatched", last_dispatch >45 minutes ago, that has completed ≥1 run before (total_runs ≥ 1) and whose last_dispatch is newer than last_success. The skill was working, then a later dispatch never reported back — a hang, or a lost outcome-write. If last_success is recent (within ~2h of the stale dispatch), lean toward a lost outcome-write (a 🟡 blip), not a hard hang.
    • A skill dispatched >45min ago that has never completed a run is warming up, not stuck — put it on the warming-up line, not P0. Only if that first dispatch is >24h old, surface it as a 🟡 WATCH (dispatched Nh ago, never completed — scheduler may not be wired up); still not 🔴.
  • API degradation: any skill with consecutive_failures >= 3. This likely indicates an external API is down or rate-limiting. Report the skill, failure count, and last_error. If multiple skills share similar error signatures, flag the shared dependency.
  • Chronic failures: any skill with success_rate < 0.5 (and total_runs >= 5). The skill is failing more than it succeeds.
  • Self-check: only if heartbeat's own entry has ≥1 success (total_successes ≥ 1) and its last_success is >36 hours ago, note that heartbeat itself may be unreliable. If heartbeat has never succeeded, say nothing here — that's warming-up, covered by Bootstrap grace above.

P1 — Stalled PRs & urgent issues

  • Any open PRs stalled > 24h? (use gh pr list)
  • Any GitHub issues labeled urgent? (use gh issue list)

P2 — Flagged memory items

  • Anything flagged in memory/MEMORY.md that needs follow-up?

P3 — Missing scheduled skills

Read aeon.yml for enabled skills with schedules. Cross-reference with memory/cron-state.json:

  • If an enabled skill has no entry at all in the state file, it has never been dispatched by the scheduler.
  • If a skill's last_success is >2x its schedule interval old (e.g., a daily skill hasn't succeeded in >48h), flag it.

Skip P3 entirely on a bootstrapping fleet (per Bootstrap grace — no skill has completed a run yet). On a fresh fork every skill is un-dispatched or warming up; that is expected, not a fleet of missing skills, and must not generate findings or a notification. Only run P3 once the fleet has warmed (at least one completed run), and even then a skill still in its very first dispatch window is warming up, not missing.

Do NOT use gh run list for this — the state file is authoritative.

Dedup & notification

Before sending any notification, grep memory/logs/ for the same item. If it appears in the last 48h of logs, skip it. Never notify about the same item twice.

Batch all findings into a single notification, grouped by priority tier:

🔴 FAILED: skill-a (failed 2h ago), skill-b (stuck 1h ago)
🟡 STALLED: PR #42 open 3 days
🔵 MEMORY: follow-up on X flagged 2 days ago

Public status page

After the priority checks (even when everything is green — this step always runs), regenerate docs/status.md so it reflects current fleet health.

Run time first. Before writing the page, run this as its own call and keep what it prints as NOW:

date -u '+%Y-%m-%d %H:%M UTC'

Paste NOW verbatim into the Updated: line. Never use the schedule time, a cron-state timestamp or a guess: readers judge staleness from this line. Every "now" on the page (the next scheduled run, the 45-minute dispatched window, Token pulse staleness) is measured from NOW.

Data sources

  • memory/cron-state.json — per-skill run state (authoritative)
  • memory/issues/INDEX.md — open issue table
  • aeon.yml — enabled skill list with schedules
  • Latest output/articles/token-report-*.md (most recent by filename date) — optional; powers the Token Pulse section. Skipped silently when no file exists.

Overall status

Compute one of three overall states from the same signals used above. This verdict drives the public, fork-facing status page, so reserve 🔴 for skills that are currently broken — a single transient failure a skill has already recovered from must not flip the whole page red, and a fresh fork whose skills simply haven't finished their first cycle must never read 🔴:

Bootstrap first. If the fleet is warming up — no skill has completed a run yet (per Bootstrap grace) — the status is 🟢 OK, annotated 🌱 warming up — N skill(s) dispatched, awaiting first completed run. Skip the rest of this ladder. Warming-up skills (dispatched, never completed) never count toward 🔴 or 🟡 (except the >24h "may not be wired up" watch-item), and heartbeat's own entry never counts toward its own verdict.

Otherwise:

  • 🔴 DEGRADED — a skill is currently and persistently broken: a stuck skill (per the refined Stuck rule — completed ≥1 run before and a later dispatch has hung; not a warming-up first dispatch, not heartbeat's own entry); consecutive_failures ≥ 3; chronic failures (success_rate < 0.5 with total_runs ≥ 5); heartbeat self-check >36h stale (only once heartbeat has ≥1 success); or a last_status: "failed" skill that has not recovered since (last_failed ≥ last_success) and consecutive_failures ≥ 2.
  • 🟡 WATCH — a transient blip or watch-item: a last_status: "failed" skill that already recovered (last_success > last_failed); or any other last_status: "failed" skill that does not meet the 🔴 bar above (e.g. a first or isolated failure, consecutive_failures ≤ 1, including a skill whose only run so far failed) — a non-recovered failure must never read 🟢 OK; a stuck skill whose last_success is recent (likely a lost outcome-write, not a hang); a warming-up skill whose first dispatch is >24h old (possibly not wired up); or any P1/P2/P3 flag (stalled PRs, urgent issues, flagged memory items, skills >2x their schedule interval old); or any open issue with severity critical or high.
  • 🟢 OK — no flags at all (a fully warmed, healthy fleet, or a bootstrapping fleet per the Bootstrap-first clause).

This refines only the public status-page colour. It does not change the P0 notification rules above — a fresh last_status: "failed" still fires its notification (deduped per the rules above) so the operator is always told; the page just won't read 🔴 for a blip the fleet has already shrugged off.

Format

Write docs/status.md with frontmatter so it renders as a status page:

---
layout: default
title: "Status"
permalink: /status/
---

# Agent Status

**Overall:** 🟢 OK
**Updated:** 2026-04-24 19:06 UTC
**Open issues:** 0
**Next scheduled run:** heartbeat at 08:00 UTC

Auto-generated by the `heartbeat` skill on every run (daily, on its `aeon.yml` schedule). If the Updated timestamp is more than ~26h stale, the agent is not running.

## Token pulse

| Token | Price | 24h | Liquidity | Volume (24h) | FDV |
|-------|-------|-----|-----------|--------------|-----|
| <TOKEN> | $0.0000032626 | -11.16% | $223.4K | $41.3K | $326.3K |

_Source: `output/articles/token-report-YYYY-MM-DD.md` · verdict: SLIDING_ (illustrative — symbol/figures come from the latest token-report)

## Skill health (last 7 days)

| Skill | Last run | Status | Success rate | Consecutive failures |
|-------|----------|--------|-------------:|---------------------:|
| token-report | 2026-04-24 12:30 UTC | ✅ success | 100% | 0 |
| fetch-tweets | 2026-04-24 06:53 UTC | ✅ success | 95% | 0 |
| …           | …                    | …         | …    | … |

## Open issues

_(if INDEX.md has any open rows, render them here; otherwise: "No open issues.")_

| ID | Title | Severity | Category | Detected |
|----|-------|----------|----------|----------|
| ISS-001 | … | medium | rate-limit | 2026-04-22 |

---
*Fork this repo and your copy inherits this page automatically — [how it works](/memory/).*

Rules

  • Include all enabled skills from aeon.yml (not only those with recent runs). For skills with no entry in cron-state.json, show — for timestamp and not yet run in status.
  • Sort the skill table by last-run timestamp descending (most recent first); skills that have never run sink to the bottom.
  • Format timestamps as YYYY-MM-DD HH:MM UTC (strip seconds and the Z). Updated: is the date -u output (NOW) from this run, never the schedule time.
  • Success rate shows total_successes / total_runs × 100 rounded to whole percent; display — when total_runs == 0.
  • Status column icons: ✅ success, ❌ failed, ⏳ dispatched (if last_dispatch within 45min), 🌱 warming up (dispatched > 45min but the skill has never completed a run — total_runs == 0 and no last_success/last_failed; this is a fresh dispatch, not a hang), 🕸 stuck (dispatched > 45min, still dispatched, and the skill has completed ≥1 run before), — (never run). Heartbeat's own row, while its current run is in flight, shows ⏳ dispatched — never 🕸 stuck.
  • For the Next scheduled run: line, pick the enabled skill with the soonest upcoming cron time after NOW.
  • Dedup state: re-running heartbeat overwrites docs/status.md wholesale each time — do not append.
  • Never expose values from .env, secrets, or anything outside cron-state.json + issues/INDEX.md + aeon.yml + output/articles/token-report-*.md. This file is public.

Token pulse rules

  • Pick the latest output/articles/token-report-*.md by filename date (sort descending, take the first match).
  • Staleness: if the picked file's date is older than 24h relative to the heartbeat run timestamp, render _No recent token data (latest report YYYY-MM-DD)._ in place of the table — do not lift stale figures into the table.
  • No file at all: omit the ## Token pulse section entirely. The status page must still render cleanly with no token row.
  • Token symbol: read from memory/MEMORY.md "Tracked Token" table (first row, Token column). If the table is missing, render the heading as ## Token pulse with the symbol column blank.
  • Field extraction (regex, tolerant of both old Value | 24h Change and new Now | 24h Δ table layouts):
    • Price: first | Price | row → first $ value in the row → strip whitespace.
    • 24h: same Price row → first ±?\d+(\.\d+)?% token in the row (typically the second cell). Render as written, preserving sign. If absent, render —.
    • Liquidity: first | Liquidity | row → first $ value.
    • Volume (24h): first row whose first cell matches Volume\b.*24h or 24h Volume → first $ value.
    • FDV: first | FDV | row → first $ value.
    • For any field whose row or $ value cannot be located, render — for that cell only — do not skip the section.
  • Verdict line: if the source article contains a **Verdict:** LABEL line, append · verdict: LABEL to the source line. If no Verdict line is present (older format), omit the suffix.
  • Source link: the trailing _Source: ..._ line names the exact article file used so a reader can verify the numbers.

The file lands on main through the workflow's auto-commit step — no explicit git commands needed in this skill.

Output (ambient)

If nothing needs attention, log "HEARTBEAT_OK" (plus the overall status page verdict, e.g. HEARTBEAT_OK · STATUS_PAGE=OK) and end your response.

A bootstrapping / warming-up fleet counts as "nothing needs attention". Still regenerate docs/status.md (verdict 🟢 OK, warming-up note), log HEARTBEAT_OK · STATUS_PAGE=OK (warming up), and send no notification — a fresh fork should be quiet, not a red alert. Warming-up skills are not "findings".

If something needs attention:

  1. Write a single concise notification (grouped by priority as above) to a file such as /tmp/heartbeat.md and send it with ./notify -f /tmp/heartbeat.md
  2. Log the findings and actions taken to memory/logs/${today}.md (under the shared ### heartbeat heading — see Log — with a mode: ambient discriminator line)
  3. Log one line with the status-page verdict, e.g. STATUS_PAGE=DEGRADED — wrote docs/status.md

Priority brief (${var} = brief or brief:<area>)

<!-- autoresearch: variation B — priority-driven, decision-ready output (cut noise, demand "why now") -->

Runs instead of the ambient check. Any text after brief: (e.g. brief:crypto) is the area to emphasize; a bare brief covers all areas.

A good brief is a priming document, not a news dump. Every line must answer "so what?".

Today is ${today}. Read memory/MEMORY.md, memory/logs/${yesterday}.md (and today's if it exists), and memory/cron-state.json (if present).

1. Rank, don't aggregate

Collect candidate items from:

  • MEMORY.md "Next Priorities"
  • Yesterday's log: unfinished work, follow-ups, notes
  • Pending repo items: gh pr list --state open --limit 10 and gh issue list --state open --limit 10 --assignee @me
  • memory/cron-state.json: skills with consecutive_failures >= 2 or success_rate < 0.8
  • aeon.yml: skills whose cron matches today

Score each candidate on leverage × urgency:

  • Leverage = does progressing this change the next 7 days?
  • Urgency = does delay today make it worse?

Keep at most 3 focus items. Everything else either goes in "Since yesterday" or is dropped. If the emphasis area is set (brief:<area>), bias ranking toward that area but do not force a focus item if nothing qualifies.

2. Headlines — only if they change priorities

Use WebSearch for 2 headlines in the user's tracked areas (AI and crypto by default; emphasize the brief:<area> value if set). Include a headline only if it meaningfully updates one of the 3 focus items, flags a new risk, or implies an action (a deadline, a market move, a shipped competitor, a disclosed exploit). If nothing qualifies, omit the Watch section entirely. No filler.

3. Format — terse, scannable, opinionated

*Priority Brief — ${today}*

*Focus today*
1. [item] — why now: [≤12 words]
2. [item] — why now: [≤12 words]
3. [item] — why now: [≤12 words]

*Since yesterday*
- [moved]: what changed (link if relevant)
- [stuck]: what's blocked, on whom

*Watch* (omit entirely if nothing qualifies)
- [headline] — implication for focus #N

*Running today*
- skill @ HH:MM UTC

Style rules:

  • Every focus item should state why now in ≤12 words. If you can't, demote it.
  • "Since yesterday" is ≤5 bullets; merge duplicates across PR/issue/log sources.
  • No throat-clearing ("here's your briefing…"). Lead with Focus.
  • No empty sections — omit rather than print "(none)".
  • If fewer than 3 candidates survive the why-now bar, allow up to 1 background item (tagged background: instead of why now:) so the brief still surfaces something worth knowing on quiet days. Never invent items, and never include more than 1 background item.
  • If soul files under soul/ are populated, match that voice; otherwise keep it direct and neutral (per CLAUDE.md).

4. Send via ./notify and email

  • Write the formatted brief to a file (e.g. /tmp/brief.md) and send it with ./notify -f /tmp/brief.md (never a long inline ./notify "..."; multi-line argv trips the sandbox).
  • Send email via Resend (optional — skip cleanly when unconfigured):
    • Preflight: read the "Keys set for this run" line in your run notes, never a shell test (those are refused and cost a turn); if RESEND_API_KEY is not on that line or $BRIEF_RECIPIENTS has no addresses, skip the email step entirely — the ./notify send above already delivered the brief. Note the skip in the log (email: skipped (no RESEND_API_KEY)) and continue; do not fail the run. RESEND_API_KEY is an optional dependency.
    • When configured:
      • Build the brief as HTML (wrap each section in <h2> headers, <ul>/<li> bullets)
      • Also keep a plain-text copy (the ./notify content above, as-is)
      • Parse $BRIEF_RECIPIENTS as a comma-separated list of addresses
      • POST to https://api.resend.com/emails (key as the literal placeholder below, never $RESEND_API_KEY; see Network):
        Authorization: Bearer {RESEND_API_KEY}
        Content-Type: application/json
        
        {
          "from": "Aeon Briefings <onboarding@resend.dev>",
          "to": ["<each recipient>"],
          "subject": "[Aeon] Priority Brief — ${today}",
          "html": "<html version>",
          "text": "<plain-text version>"
        }
      • Log the id field from the Resend response to memory/logs/${today}.md for traceability
      • If the key is set and Resend returns an error, log the full error body and fail loudly (do not silently continue) — a real send failure is a signal, an absent optional key is not
  • Append to memory/logs/${today}.md under the shared ### heartbeat heading (see Log) with a mode: brief discriminator line: timestamp, the 3 focus items (one line each), headline count, and any skills flagged from cron-state. This becomes tomorrow's "since yesterday" input.

Log

Both branches append to memory/logs/${today}.md under a single ### heartbeat heading (the health loop parses this shape). Begin the entry with a discriminator line naming the branch that ran:

  • mode: ambient — the default fleet check. Log the status-page verdict, e.g. STATUS_PAGE=OK, or HEARTBEAT_OK · STATUS_PAGE=OK when nothing needed attention; on findings, log the findings and actions taken plus the STATUS_PAGE=… line.
  • mode: brief — the priority brief. Log the timestamp, the 3 focus items (one line each), the headline count, and any skills flagged from cron-state.

Network note

Applies to both branches. curl works — there is no network sandbox. Use WebFetch as a fallback for a flaky public GET. For GitHub queries (both branches use gh pr list / gh issue list), use the gh CLI (handles auth internally) rather than curl. The priority-brief Resend POST carries the RESEND_API_KEY secret — a bare $RESEND_API_KEY on the command line is refused by the Bash permission layer, so send it with ./secretcurl using a {RESEND_API_KEY} placeholder (WebFetch can't carry a secret).

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Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.