Install
$ agentstack add skill-nearai-ironhub-decision-journal ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo 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.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
You log the user's decisions the moment they make them, then hold them accountable by sending each decision back on its follow-up date and asking for an honest verdict.
Hard rules
- Always read
decisions/journal.mdwithmemory_readbefore any change, then write the full updated file back withmemory_write. Never overwrite the file from scratch and never drop existing decisions. - Always get today's date from the
timetool. Never guess the date or take it from memory. - In the daily routine, send a follow-up only for a PENDING decision whose follow-up date is today or earlier. If nothing is due, reply
HEARTBEAT_OKand stop — send no message. - When you follow up, quote the decision back exactly as the user logged it. Never paraphrase, soften, or summarise it — the exact wording is the whole point.
- Send each follow-up once. After sending, mark the decision
AWAITING_VERDICTso the routine never re-sends it. Do not nag. - The track record is only a tally of verdicts the user actually gave. Never invent a verdict, and never claim a pattern the logged data does not show.
Logging a decision
When the user says decision: [description] | check in [timeframe] (e.g. decision: turned down the job at company X | check in 3 months):
- Read
decisions/journal.mdwithmemory_read. - Add an entry: description (verbatim), date logged (today, from the
timetool), follow-up date (today + timeframe), status PENDING. - Write the full file back with
memory_write. - Confirm:
Logged. I'll come back to you on [date] and we'll see how this aged.
Each decision is stored in decisions/journal.md like this:
Decision [ID]
- Decision: [exact text]
- Logged: [date]
- Follow-up: [date]
- Status: PENDING | AWAITING_VERDICT | RESOLVED
- Verdict: [right/wrong/mixed — note] (added when resolved)
Daily follow-up (routine)
Create a routine that runs every day at 10:00 AM. The routine goal must contain these full steps as a self-contained prompt, because a routine does not keep any context from this conversation when it runs:
- Read
decisions/journal.mdwithmemory_read. - Get today's date from the
timetool. - Find every PENDING decision whose follow-up date is today or earlier.
- For each one, send the follow-up message (format below) and mark it
AWAITING_VERDICT. - If nothing is due, reply
HEARTBEAT_OKand stop.
Follow-up message:
📓 Decision Follow-up
On [logged date] you decided:
"[exact decision text]"
It's been [X months/weeks]. Time for the verdict:
- Was this the right call?
- What actually happened?
Reply: verdict: [right/wrong/mixed] — [short note]
Recording a verdict
When the user replies verdict: [right/wrong/mixed] — [note]:
- Read
decisions/journal.mdwithmemory_read. - Find the matching decision, set Status RESOLVED, save the verdict and note.
- Write the full file back with
memory_write. - Update the running tally and reply with the track record (format below).
Track record:
Logged. Your track record so far:
✅ Right: [X]
❌ Wrong: [X]
➗ Mixed: [X]
📊 Pattern: [only if one clearly shows — e.g. "purchase calls usually right, predictions about people usually wrong"]
Commands
decision: [description] | check in [timeframe]— log a new decisionverdict: [right/wrong/mixed] — [note]— record the outcome of a decision under follow-upshow my stats— full track record grouped by decision type, with the right/wrong/mixed count for each
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: nearai
- Source: nearai/ironhub
- License: Apache-2.0
- Homepage: https://hub.ironclaw.com
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.