Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/tranhieutt/software_development_departmentnpx agentmods add skills/tranhieutt/software_development_department/trace-historyWrote 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/tranhieutt/software_development_department/trace-history)<a href="https://agentmods.dev/skills/tranhieutt/software_development_department/trace-history"><img src="https://agentmods.dev/badge/skills/tranhieutt/software_development_department/trace-history/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/tranhieutt/software_development_department/trace-history"><img src="https://agentmods.dev/badge/skills/tranhieutt/software_development_department/trace-history.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00041 | $0.00818 |
| Opus 5 | $0.00020 | $0.00409 |
| Sonnet 5 | $0.00008 | $0.00164 |
| Haiku 4.5 | $0.00004 | $0.00082 |
Grade A, and why
trace-history 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 9d 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 — 81 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Trace History
Read production/traces/decision_ledger.jsonl and display a filtered, human-readable
timeline of agent decisions.
Execution
The rendering and filtering logic is implemented in scripts/trace-history.sh.
This skill delegates to that script — do NOT re-implement parsing here.
1. Run the backing script
Invoke exactly once, passing $ARGUMENTS through unchanged:
bash scripts/trace-history.sh $ARGUMENTS
The script handles: flag parsing, filtering, rendering (pretty or JSON), empty-ledger short-circuit, and invalid-argument rejection. Return the script's stdout verbatim to the user.
2. Supported flags (all optional)
| Flag | Default | Meaning |
|---|---|---|
--agent <name> |
all | Filter by agent_id |
--risk <High|Medium|Low> |
all | Filter by risk_tier |
--task <id> |
all | Substring match on task_id |
--outcome <pass|fail|blocked|skipped> |
all | Filter by outcome |
--since <YYYY-MM-DD> |
no limit | Only entries with ts >= date |
--last <N> |
20 | Keep last N after other filters |
--format <pretty|json> |
pretty | Output format |
3. Output format
Pretty (default): timeline with risk badges (🔴🟡🟢) and outcome emojis
(✅❌⛔⏭️), grouped with separators and totals. Failed/blocked entries trigger
a /resume-from hint automatically.
JSON: raw matching entries as a JSON array — use when piping to another tool.
4. Empty or no-match
The script emits 📭 messages for an empty ledger or zero-match filter. Return
those messages as-is; do not fabricate data.
How decisions get into the ledger
Agents append one JSON line per significant decision to production/traces/decision_ledger.jsonl.
Append format:
{"ts":"2026-04-16T10:30:00Z","session":"main","agent_id":"backend-developer","task_id":"042","request":"Choose JWT signing algorithm","reasoning":"RS256 supports multi-service verification without sharing secrets","choice":"RS256 over HS256","outcome":"pass","risk_tier":"Medium","duration_s":18}
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.
- 9d ago First seen · 81 lines · 41 tokens per session scan A c73541a4ab95
trace-history is a skill published in the GitHub repository tranhieutt/software_development_department (72 stars, last pushed 4mo ago), licensed MIT. It adds 41 tokens to every session and 818 once invoked, about $0.0002 per session on Opus 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 2026-09-03.
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