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 skills add equinor/neqsim --skill neqsim-continuous-task-improvementgit clone --depth 1 https://github.com/equinor/neqsimWrote 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/equinor/neqsim/neqsim-continuous-task-improvement)<a href="https://agentmods.dev/skills/equinor/neqsim/neqsim-continuous-task-improvement"><img src="https://agentmods.dev/badge/skills/equinor/neqsim/neqsim-continuous-task-improvement/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/equinor/neqsim/neqsim-continuous-task-improvement"><img src="https://agentmods.dev/badge/skills/equinor/neqsim/neqsim-continuous-task-improvement.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 | $0.00101 | $0.04560 |
| Opus 5.5 | $0.00040 | $0.01824 |
| Sonnet 5.5 | $0.00020 | $0.00912 |
| Haiku 4.5 | $0.00010 | $0.00456 |
Grade A, and why
neqsim-continuous-task-improvement 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 yesterday.
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 — 285 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Continuous Task Improvement (Living Tasks)
A normal task ends with a report. A living task keeps a continuous/ folder
next to the normal three steps and is improved by cycles: small, resumable,
auditable runs that pull new evidence, recompute KPIs, detect drift, update an
improvement ledger and — only on a trigger — ask an agent to look. The engineer
promotes a reviewed cycle to the new baseline. Nothing in the old task changes.
Principle: program the loop, prompt the exceptions. The runner makes no LLM calls; agents run only when a trigger fires; people decide.
When to use
| Need | Command |
|---|---|
| Keep a finished task up to date (daily, on a server or on demand) | task-living then task-schedule --install |
| Solve until the goal is met, or until improvement is marginal | task-solve --until goal / --until converged |
| Resume after closing VS Code, rebooting or changing machine | task-status <task> then task-resume <task> |
| Reassess after a datasheet, drawing, standard, measurement or model changes | task-status <task> then task-update <task> |
| Issue a reviewed standalone Word/HTML delivery | Promote the validated cycle, then task-report <task> --final --reviewer NAME |
| Start from a Word/Markdown brief | neqsim new-task "title" --prompt-file brief.docx then task-living |
| Prove a monitor finds the faults it should (and no others) | task-backtest --start ... --end ... |
| Try everything without company data | task-reference-case <folder> |
All commands run through the shared interpreter:
<python-executable> devtools/neqsim_cli.py task-<command> ... (or neqsim task-<command>).
<task> may be a path or a folder name inside the task root (neqsim --show-task-root);
task-status and task-reference-case default to the task root when no folder is given.
Workflow
- Make it living (never overwrites):
Createsneqsim task-living <task> --brief brief.docxcontinuous/cycle_plan.yaml, a draftgoal.yamlcompiled from the brief,baseline/fromresults.jsonkey results, a ledger seeded fromrecommendations, and acontinuous:block instudy_config.yaml. - Edit the plan — sources (adapter + options), scripts (task-local stage
functions), KPIs, drift signals, triggers, stages, solve settings, backtest
expectations. See the template written by
task-living. - Confirm the goal — fill
objective.metric/direction/targetand setconfirmed_by.task-solverefuses an unconfirmed goal (--allow-unconfirmedfor experiments only). - Backtest before scheduling — replay archived data with a simulated clock:
Report: detected / missed expected events, delay, false alarms per month, reproducibility. Written toneqsim task-backtest <task> --start 2025-10-02 --end 2026-09-30 --repeatcontinuous/backtests/<run>/; live state is untouched. - Resume before starting fresh work —
neqsim task-status <task>is the five-second persisted view. If it reports resumable work, runneqsim task-resume <task>. The task folder, not prior chat, is authoritative. - Process evidence changes — map evidence globs to affected stages and conclusions under
evidence.rules(match,stages, affectedkpis, andconclusions); useneqsim task-update <task>. Mapped changes rerun only the affected stages and declared dependencies while invalidating affected KPIs and retaining unaffected ones. An unmapped path fails closed to the full plan. - Run cycles —
neqsim task-cycle <task>(monitor) or schedule it:neqsim task-schedule <task> --daily 05:00 --install(Windows Task Scheduler; thecronline is printed for Linux servers). - Review and promote — read
continuous/LIVING_REPORT.md(the always-current view) andcycles/<id>/digest.md, decide ledger items (task-ledger <task> set OPP-0002 accepted --by NAME), thenneqsim task-promote <task> <cycle-id> --reviewer NAME. - Finalize explicitly — only after the accepted result is promoted and evidence is current,
run
neqsim task-report <task> --final --reviewer NAME. This uses the canonical Task Solver generator and writes an immutableFR-###Word/HTML delivery plus hashes and audit references.
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.
- yesterday Changed · +19 lines 54597cc99f0b
- 6d ago Changed · +5 lines ea239fba2546
- 8d ago Changed · +25 lines · +1 tokens per session 7f3f51b1fc09
- 9d ago Changed · +8 lines f902fabfcd05
- 12d ago Changed · +50 lines fd105cf414b3
- 20d ago First seen · 178 lines · 100 tokens per session scan A 4e75549c194f
neqsim-continuous-task-improvement is a skill published in the GitHub repository equinor/neqsim (156 stars, last pushed today), licensed Apache-2.0. It adds 101 tokens to every session and 4,560 once invoked, about $0.0004 per session on Opus 5.5. 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 2026-09-27.
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