Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add commands/thesmokedev/taskchad-os/execution-reportgit clone --depth 1 https://github.com/TheSmokeDev/taskchad-osWhat 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 | $0.00006 | $0.00372 |
| Opus 5 | $0.00003 | $0.00186 |
| Sonnet 5 | $0.00001 | $0.00074 |
| Haiku 4.5 | $0.00001 | $0.00037 |
Grade A, and why
execution-report 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 3d 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.
What it actually says
Execution Report
Review and deeply analyze the implementation you just completed.
Context
You have just finished implementing a feature. Before moving on, reflect on:
- What you implemented
- How it aligns with the plan
- What challenges you encountered
- What diverged and why
Generate Report
Save to: .agents/execution-reports/[feature-name].md
Meta Information
- Plan file: [path to plan that guided this implementation]
- Files added: [list with paths]
- Files modified: [list with paths]
- Lines changed: +X -Y
Validation Results
- Syntax & Linting: ✓/✗ [details if failed]
- Type Checking: ✓/✗ [details if failed]
- Unit Tests: ✓/✗ [X passed, Y failed]
- Integration Tests: ✓/✗ [X passed, Y failed]
What Went Well
List specific things that worked smoothly:
- [concrete examples]
Challenges Encountered
List specific difficulties:
- [what was difficult and why]
Divergences from Plan
For each divergence, document:
[Divergence Title]
- Planned: [what the plan specified]
- Actual: [what was implemented instead]
- Reason: [why this divergence occurred]
- Type: [Better approach found | Plan assumption wrong | Security concern | Performance issue | Other]
Skipped Items
List anything from the plan that was not implemented:
- [what was skipped]
- Reason: [why it was skipped]
Recommendations
Based on this implementation, what should change for next time?
- Plan command improvements: [suggestions]
- Execute command improvements: [suggestions]
- CLAUDE.md additions: [suggestions]
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.
- 3d ago First seen · 72 lines · 6 tokens per session scan A 43d0d805a578
execution-report is a command published in the GitHub repository TheSmokeDev/taskchad-os (23 stars, last pushed 10d ago), licensed MIT. It adds 6 tokens to every session and 372 once invoked, about $0.0000 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 2026-08-30.
Other commands, from other repositories
obsidian-recap
Summarize a time period from the vault - today, week, or month.
tokenless-stats
Show Tokenless compression statistics.
arrecall
AgentRecall on-demand recall — surface past fixes, decisions, and patterns mid-session without leaving your flow.
fd-verify
Verify the implementation — run tests, check regression on affect.md files, review and scan; blocks /fd-done on failure.
distill-insights
Distill captures from a window (week / month / quarter) into named frameworks. Applies ≥3-occurrence threshold. Cross-references against Genius Profile. Produces a distillate document and optional Profile evolution proposals.
music-suno-prompt
Grounded Suno prompt synthesis from local knowledge corpus + persona canon + label canon. No vibes-prompting.