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/pounceai/bob-control/bob-workgit clone --depth 1 https://github.com/PounceAI/bob-controlWhat 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 | $0.00019 | $0.01639 |
| Opus 5 | $0.00010 | $0.00820 |
| Sonnet 5 | $0.00004 | $0.00328 |
| Haiku 4.5 | $0.00002 | $0.00164 |
Grade A, and why
bob-work 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 2d 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 — 94 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are now the worker (not the foreman). Pull pending tasks off the Bob board,
do the work yourself in this environment, log progress, and submit results. Bob is
the other worker on this same board and handles the IBM i / RPG work — you take what you
can actually do here. Claiming a task marks it in_progress, and Bob only pulls
pending, so claiming is how the two of you avoid double-working a task.
Options (parse from: $ARGUMENTS)
- a bare word → treat as a tag filter (only tasks carrying that tag).
--max N→ process at most N tasks (default 5). A safety cap, not a target.--one→ process a single task, then stop.--dry-run→ show what you'd claim and your plan; claim nothing, change nothing, then stop.
Loop
Repeat until the queue is empty, --max is hit, or only unsuitable tasks remain:
- Survey. First call
board_status. Ifarmedis false, STOP — dispatch is paused (a curator is triaging); report that the board is disarmed and do nothing. Otherwiselist_taskswithstatus: "pending"(and the tag filter if given). The list is already in pull order (priority, then oldest).stagedtasks are deliberately NOT pullable and won't appear; never try to claim one. Never touchin_progresstasks — someone owns them. - Pick the highest-priority task you can actually do here. Skip — do not claim:
- Bob's domain: IBM i / RPG work — tags like
rpg,rpgle,cl,cobol,db2,ibm-i,iseries; or descriptions mentioning RPG, source members,*LIBL, DDS, 5250/green-screen, service programs. Leave thesependingfor Bob. - Out of reach: work targeting code, paths, or resources not present in the current working directory.
- Capability you lack: an
advancedtask that needs a browser/tool you don't have. If nothing is suitable, stop and report what's left and why you skipped it.
- Bob's domain: IBM i / RPG work — tags like
- Dry run? If
--dry-run, list the task(s) you'd take and a one-line plan for each, then stop without claiming. - Claim it:
claim_taskwithidandassignee: "claude"(distinguishes your work from Bob's). Add a starting note:add_task_notewithauthor: "claude", e.g. "Claimed by Claude Code; starting." - Resolve the mode and respect its risk (same rules as
/bob-route): explicitmode› a tag naming a mode › keyword router ›code. Then:ask/plan/review(read-only): investigate and report only. Do not edit, write, or run mutating commands. Yourresultis the findings. These finish asanalysis_done(the board's distinct "analysis, not built/verified" state) — that is the correct, honest outcome, NOT a failure.code/orchestrator: implement the change — edit, build, run, verify.advanced: proceed only if you have the capability it needs. If you don't, there is no unclaim action, so setupdate_task_status→blockedwith a note saying what's missing.
- Do the work, leaving a brief
add_task_note(author: "claude") at meaningful milestones — not after every step. Output discipline: put analysis, plans, and design notes in the taskresult/notes — do not scatter*_PLAN.md/*_DESIGN.mdfiles at arbitrary repo paths. If you genuinely need scratch files, keep them under a gitignored scratch dir, andrecord_artifacteach one you write. - Need a value you don't have? Ask the board — never guess. If you hit a fact or
decision you can't determine yourself (a config value, a deploy timeline, a stakeholder
choice — anything you'd otherwise have to assume), do not fabricate it and do not
mark the task done:
ask_questionwithtask_id,text(andoptionsif multiple-choice). This parks the taskneeds_inputand writes the question to the board, where an orchestrator or human can see it (get_task/board_report) and answer it (answer_task_question, orbob answer).- Then loop
await_answer(task_id, question_id)until it returnsstatus:"answered"— use that answer and continue. Each call blocks ~25s server-side; while it returnsstatus:"waiting", just call it again. - If it returns
status:"timed_out", STOP: the task is already parkedblocked(the question went unanswered). Report it; never invent an answer to keep going. - If
await_answerinstead errors (e.g. "no question …" — the task or question was deleted out from under you) or returns anything you don't recognize, also STOP that task and move on — do not retry-loop the failing call, and never fabricate an answer. Inventing a value (e.g. guessing a DB pool size or a "safe" worker count) is exactly the failure this prevents — when in doubt, ask the board and wait.
- Finish:
- Implementation success →
submit_resultwith a conciseresultANDevidence(thefilesyou changed, and atest/commitif you have one). Evidence is what lets an implementation task reachdone; without it the task lands inanalysis_done("you described it but didn't build/verify it"). Don't claim done for a task you only analyzed — that's the false-done the gate exists to prevent. - Analysis success (read-only modes) →
submit_resultwith your findings asresult(no evidence needed); it completes asanalysis_done. - Can't complete (missing info, environment can't do it, repeated errors, or it
would require a destructive/irreversible action you shouldn't take unattended) →
update_task_status→blockedandadd_task_note(author: "claude") saying exactly what's blocking it and what's needed. Never leave a task dangling inin_progress, and never force a risky action — surface it to the user instead.
- Implementation success →
- Serial only: fully finish one task before claiming the next, so the board stays consistent and you're not fanning out edits across tasks.
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.
- 2d ago First seen · 94 lines · 19 tokens per session scan A 6dd59c740e5e
bob-work is a command published in the GitHub repository PounceAI/bob-control (1 stars, last pushed 19d ago), licensed Apache-2.0. It adds 19 tokens to every session and 1,639 once invoked, about $0.0001 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 2026-08-31.
Other commands, from other repositories
insights
Surface patterns from your pro-workflow learnings and session history.
blackboard
Read or write a Network-AI blackboard key (shared multi-agent state).
cost-tracker
Track session costs, understand token spend, and get optimization tips.
dispatcher
Pick the next-best repo to work on across the portfolio — rank free repos, recommend one, claim its lease atomically, and route to the entry command.
test
Agentic end-to-end test orchestrator — drive web/macOS flows, evaluate UX rubric, reconcile issues.
mach12:pr-merge
Merge a PR, delete the feature branch, and optionally create a release.