Creator · transilienceai
Last updated · Sep 5, 2026
Pentest coordination — orchestrates executor and validator agents with context-controlled spawning. Entry point for all engagements.
Creator · transilienceai
Last updated · Sep 5, 2026
Pentest coordination — orchestrates executor and validator agents with context-controlled spawning. Entry point for all engagements.
Creator · transilienceai
Last updated · Sep 5, 2026
Pentest coordination — orchestrates executor and validator agents with context-controlled spawning. Entry point for all engagements.
Creator · transilienceai
Last updated · Sep 5, 2026
Pentest coordination — orchestrates executor and validator agents with context-controlled spawning. Entry point for all engagements.
Do not auto-install
Install targets
Codex install prompt
Install the "coordination" agent skill from https://github.com/transilienceai/communitytools/tree/main/skills/coordination. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Pentest coordination — orchestrates executor and validator agents with context-controlled spawning. Entry point for all engagements. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"transilienceai-coordination","task":"Install coordination","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills.
Scenario
Coding agents
I need a coding agent that can understand a repository, edit code, and review pull requests.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add transilienceai/communitytools --skill coordination
Maintenance
active
1mo since push
Risk
Needs review
Dependency or permission surface needs review
GitHub quality
509
68/100 Quality · 67/100 Trust
Coverage tags
Review notes
Dependency or permission surface needs review · Permission surface may require sandboxing
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
PromisingUseful candidate, but compare it with alternatives before adopting.
Trust
Do not auto-installTrust Score v5 found insufficient evidence for agent installation. Treat this as discovery material, not an executable recommendation.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Choose a stronger alternative or inspect the source manually before any install attempt.
Stars
509 GitHub stars
Repo activity
509 stars, 75 forks
Maintenance
1mo since push
License
MIT
Install
npx skills add transilienceai/communitytools --skill coordination
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add transilienceai/communitytools --skill coordinationDo not use when
Alternative
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Alternative
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npx skills add mattpocock/skills --skill implement
Alternative
30.9K Stars
npx skills add vercel-labs/agent-skills --skill vercel-react-best-practices
Agent safety v2
This skill should not be selected by an agent without explicit human security review.
Do not auto-install. Inspect the source, dependencies, and permission surface first.
high
Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
high
Skill metadata references credentials, tokens, environment variables, or secret-bearing workflows.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20coordination%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20coordination%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/transilienceai-coordination/install
Agent should check
Copy prompt
Task: Use coordination in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20coordination%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/transilienceai-coordination/install
Install command: npx skills add transilienceai/communitytools --skill coordination
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/transilienceai-coordination/install
LLM text format
/api/skills/transilienceai-coordination/install?format=text
Find alternatives
/api/skills/search?q=coordination&limit=3
Agent prompt
Use coordination for this task. Review https://www.openagentskill.com/api/skills/transilienceai-coordination/install, then install with: npx skills add transilienceai/communitytools --skill coordinationRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/transilienceai-coordination
LLM text
/api/registry/manifest/transilienceai-coordination?format=text
Install alias
/api/registry/install/transilienceai-coordination
Recommend
/api/registry/recommend?task=Use%20coordination%20in%20an%20agent%20workflow&limit=3
Agent fit
Research agents
Use-case tags
Platforms
Claude Code
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Shortlist this skill and compare it with close alternatives before production adoption.
Role in stack
Companion skill
Primary fit
Research agents
Trust label
Strong shortlist
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Trust Score v5 found insufficient evidence for agent installation. Treat this as discovery material, not an executable recommendation.
GitHub adoption
INFO509 GitHub stars
Stars/forks activity
INFO509 stars, 75 forks; issue activity unavailable in current metadata
Recent maintenance
PASS1mo since push
License clarity
PASSMIT
Good signals
Review before install
Recommended action
Choose a stronger alternative or inspect the source manually before any install attempt.
Quality profile
Useful candidate, but compare it with alternatives before adopting.
Workflow fit
Investigate faster
I need my agent to research a topic, compare sources, and produce a concise report.
Search private knowledge
I need my agent to build a RAG workflow over documents and retrieve reliable context.
Operate web apps
I need my agent to control a browser, fill forms, and verify web app workflows.
Workflow fit
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Ingest, retrieve, and cite
A workflow for document-heavy agents that ingest files, create searchable knowledge, retrieve relevant context, and answer with grounded sources.
Operate and verify web apps
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Alternative shortlist
Similar skills that may fit this task.
Review a branch or diff against repository standards and the originating spec in two independent analysis passes.
Platform to build admin panels, internal tools, and dashboards. Integrates with 25+ databases and any API.
Implement work from an approved spec or ticket set, run focused and full tests, invoke code review, and commit the result to the current branch.
React and Next.js performance guidance for writing, reviewing, and refactoring production UI code.
--- name: coordination description: Pentest coordination — orchestrates executor and validator agents with context-controlled spawning. Entry point for all engagements. ---
# Coordination
Runs as a spawned subagent (one per target). Within its own context, the coordinator holds engagement state inline — it does not delegate its thinking to further sub-subagents. Thinks before every action.
The parent orchestrator (main session) **must not** execute this workflow inline. If you find yourself doing P1-P5 in the main session, you skipped the spawn step in `skills/hackthebox/SKILL.md` (or the relevant platform skill) and the bookkeeping discipline is silently disabled.
## Principle (Rule 0)
**Source code first.** Read all accessible source — application code, config, scripts, share contents — before any executor batch. Every answer is in the data you already have. Guessing without reading is the most common failure mode.
## Workflow
``` P0: Ingest scope ↓ P1: Recon + read source code → write attack-chain.md → run preflight-checklist ↓ ┌→ P2: Think — read chain + experiments.md, write 3 hypotheses (≥1 [wildcard]), pick 1-2 to test │ P2b: Research (conditional) — see reference/creative-research.md │ P3: Execute — spawn 1-2 executors with CHAIN_CONTEXT [+ RESEARCH_BRIEF] │ P4: Integrate — materialize each candidate; **validate it now** (interleaved, strict per-finding, │ fresh blind agents) → CONFIRMED | REJECTED | CURE→re-validate | DROPPED; update chain, revise theory │ Coverage flips only on VALID (coverage-by-VALID); REJECTED/DROPPED classes stay pending → keep searching │ No progress 1 batch → consider P2b · goal_attempts ≥ 3 on any conceptual goal → P4b └─ loop (max 30 experiments; mandatory skeptic at experiments 5, 15, 25)
P4b: Reset — re-read all recon + source + chain. Creative Research (mandatory). Fresh theory. P5: Engagement-thoroughness validation + Report (validated/ = VALID/REPAIRED only; drop-entirely, no gaps section) ```
### Steps
1. **Recon + Source Code** — read all accessible code (see `formats/reconnaissance.md`). Run pre-flight checklist (`reference/preflight-checklist.md`). 2. **Think** — write 3 hypotheses to `attack-chain.md`, ≥1 tagged `[wildcard]`. Pick 1-2 to spawn. 3. **Test** — 1-2 executors per batch, integrate before next. 4. **Validate (interleaved)** — validate each candidate the instant INTEGRATE materializes it, on fresh blind agents (strict per-finding cure/drop loop → CONFIRMED | REJECTED | CURE | DROPPED); at loop end run the engagement-thoroughness validator (see `reference/validator-role.md`). 5. **Report** — the `VALID`/`REPAIRED` findings in `{OUTPUT_DIR}/artifacts/validated/` (all of them, by construction) → Transilience PDF via `formats/transilience-report-style/SKILL.md`.
## attack-chain.md
`{OUTPUT_DIR}/attack-chain.md`. Updated every batch. Sections: services, surface, theory (3 hypotheses + chosen), tested, next. Bullets, max 50 lines, prune old items to one-liners.
## Bookkeeping
experiments.md ledger, tools/ logs, EXPERIMENT_ID injection, conceptual-goal counting — see `reference/bookkeeping.md`.
## Creative Research (P2b)
Triggers: P4b reset (mandatory), goal_attempts ≥ 3 on any goal, novel error class, source code unreadable, every executor returned negative, no hypothesis at P2, no progress for 1 batch. See `reference/creative-research.md`. Most batches skip P2b.
## Spawning
See `reference/spawning-recipes.md` for copy-paste-ready spawn patterns per role. Context contracts in `reference/context-injection.md`. Role boundaries in `reference/role-matrix.md`.
## Roles
| Role | File | Context | When | |------|------|---------|------| | Executor (explore) | `reference/executor-role.md` | Full chain + skills | Recon / breadth | | Executor (exploit) | `reference/executor-role.md` | Full chain + skills + scenarios | Confirmed theory | | Skeptic | `reference/skeptic-role.md` | experiments.md + recon (no chain) | Mandatory at experiments 5, 15, 25 | | Validator (finding) | `reference/validator-role.md` | Evidence only (blind) | Interleaved — each candidate the instant it's materialized; fresh each cure round | | Executor (cure) | `reference/executor-role.md` | Only named `failed_checks` + `missing_evidence` (no theory) | On a DEMOTED verdict, before re-validation | | Validator (engagement) | `reference/validator-role.md` | OUTPUT_DIR only (blind) | Once at loop end |
## Rules
1. **Autonomous.** Coordinator MUST NOT call `AskUserQuestion`. If a credential is missing, run `python3 tools/env-reader.py`; if it returns NOT_SET, terminate with `status=BLOCKED` and emit a clear blocker. Asking is the parent orchestrator's job. 2. **Think before acting.** Write 3 hypotheses (≥1 wildcard) to attack-chain.md before every batch. Record rejected ones — they are the search tree. 3. **Max 1-2 executors per batch.** Recon can use more. 4. **Pass chain context + specific PATT_URL** to executors. Not the full PATT map. 5. **30-experiment cap.** 6. **goal_attempts ≥ 3 on a conceptual goal** → P4b reset. Count by *goal*, not literal technique string. Five PKINIT cert variants chasing "use this cert to authenticate" = five strikes against one goal. See `reference/bookkeeping.md` for the goal column. 7. **Mandatory skeptic** at experiments 5, 15, 25 (see `reference/skeptic-role.md`). 8. **All output to OUTPUT_DIR.** 9. **Sequential flag progression** in multi-flag engagements. User-foothold first; root path usually flows from there. 10. **No partial completion as a success state.** A multi-flag engagement is incomplete until every flag submits. `status=FAILED_partial` is a temporary marker, never a final outcome. 11. **Phase 3 (skill-update + Slack + queue) is parent-orchestrator only.** Coordinator emits PHASE3_SUMMARY and exits. 12. **Source for library internals.** Before writing Python against any library API (Impacket, ldap3, pyasn1), read the source. Prefer CLI tools (secretsdump.py, ticketer.py, getST.py). 13. **Background command discipline.** State the specific result a tunnel/relay/listener will produce before spawning. 14. **Report gate.** Validated findings exist → Transilience PDF report required. Read `formats/transilience-report-style/pentest-report.md`. 15. **Validation completeness.** After validators run, every validated finding has `evidence/validation/validation-summary.md`. Flag any without proof.
## Token Discipline
- Internal output (chain, logs, reports): bullets, not prose. - Executor prompts: 1-2 relevant skill files + the specific PATT_URL. - attack-chain.md max 50 lines; bookkeeping max 10% of mission tokens. - User-facing output (reports, summaries): detailed.
## References
`reference/principles.md` · `reference/preflight-checklist.md` · `reference/role-matrix.md` · `reference/bookkeeping.md` · `reference/spawning-recipes.md` · `reference/context-injection.md` · `reference/creative-research.md` · `reference/executor-role.md` · `reference/skeptic-role.md` · `reference/validator-role.md` · `reference/VALIDATION.md` · `reference/ATTACK_INDEX.md` · `reference/OUTPUT_STRUCTURE.md` · `reference/GIT_CONVENTIONS.md` · `formats/INDEX.md`
Source provenance
Decision snapshot
509 GitHub stars
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for coordination, ready for a manual X post.
coordination: Pentest coordination — orchestrates executor and validator agents with context-controlled spa... 509 stars https://www.openagentskill.com/skills/transilienceai-coordination?ref=x
Listing + install path for coordination: https://www.openagentskill.com/skills/transilienceai-coordination?ref=x Install: npx skills add transilienceai/communitytools --skill coordination
Listing source
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
This Registry indexed listing is attributed to transilienceai but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
Creator backlink kit
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
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@transilienceai
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Do not auto-install
Code Review
Review a branch or diff against repository standards and the originating spec in two independent analysis passes.
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Install targets
Codex install prompt
Install the "coordination" agent skill from https://github.com/transilienceai/communitytools/tree/main/skills/coordination. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Pentest coordination — orchestrates executor and validator agents with context-controlled spawning. Entry point for all engagements. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"transilienceai-coordination","task":"Install coordination","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills.
Scenario
Coding agents
I need a coding agent that can understand a repository, edit code, and review pull requests.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add transilienceai/communitytools --skill coordination
Maintenance
active
1mo since push
Risk
Needs review
Dependency or permission surface needs review
GitHub quality
509
68/100 Quality · 67/100 Trust
Coverage tags
Review notes
Dependency or permission surface needs review · Permission surface may require sandboxing
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
PromisingUseful candidate, but compare it with alternatives before adopting.
Trust
Do not auto-installTrust Score v5 found insufficient evidence for agent installation. Treat this as discovery material, not an executable recommendation.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Choose a stronger alternative or inspect the source manually before any install attempt.
Stars
509 GitHub stars
Repo activity
509 stars, 75 forks
Maintenance
1mo since push
License
MIT
Install
npx skills add transilienceai/communitytools --skill coordination
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add transilienceai/communitytools --skill coordinationDo not use when
Alternative
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npx skills add mattpocock/skills --skill code-review
Alternative
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Alternative
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npx skills add mattpocock/skills --skill implement
Alternative
30.9K Stars
npx skills add vercel-labs/agent-skills --skill vercel-react-best-practices
Agent safety v2
This skill should not be selected by an agent without explicit human security review.
Do not auto-install. Inspect the source, dependencies, and permission surface first.
high
Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
high
Skill metadata references credentials, tokens, environment variables, or secret-bearing workflows.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20coordination%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20coordination%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/transilienceai-coordination/install
Agent should check
Copy prompt
Task: Use coordination in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20coordination%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/transilienceai-coordination/install
Install command: npx skills add transilienceai/communitytools --skill coordination
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/transilienceai-coordination/install
LLM text format
/api/skills/transilienceai-coordination/install?format=text
Find alternatives
/api/skills/search?q=coordination&limit=3
Agent prompt
Use coordination for this task. Review https://www.openagentskill.com/api/skills/transilienceai-coordination/install, then install with: npx skills add transilienceai/communitytools --skill coordinationRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/transilienceai-coordination
LLM text
/api/registry/manifest/transilienceai-coordination?format=text
Install alias
/api/registry/install/transilienceai-coordination
Recommend
/api/registry/recommend?task=Use%20coordination%20in%20an%20agent%20workflow&limit=3
Agent fit
Research agents
Use-case tags
Platforms
Claude Code
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Shortlist this skill and compare it with close alternatives before production adoption.
Role in stack
Companion skill
Primary fit
Research agents
Trust label
Strong shortlist
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Trust Score v5 found insufficient evidence for agent installation. Treat this as discovery material, not an executable recommendation.
GitHub adoption
INFO509 GitHub stars
Stars/forks activity
INFO509 stars, 75 forks; issue activity unavailable in current metadata
Recent maintenance
PASS1mo since push
License clarity
PASSMIT
Good signals
Review before install
Recommended action
Choose a stronger alternative or inspect the source manually before any install attempt.
Quality profile
Useful candidate, but compare it with alternatives before adopting.
Workflow fit
Investigate faster
I need my agent to research a topic, compare sources, and produce a concise report.
Search private knowledge
I need my agent to build a RAG workflow over documents and retrieve reliable context.
Operate web apps
I need my agent to control a browser, fill forms, and verify web app workflows.
Workflow fit
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Ingest, retrieve, and cite
A workflow for document-heavy agents that ingest files, create searchable knowledge, retrieve relevant context, and answer with grounded sources.
Operate and verify web apps
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Alternative shortlist
Similar skills that may fit this task.
Review a branch or diff against repository standards and the originating spec in two independent analysis passes.
Platform to build admin panels, internal tools, and dashboards. Integrates with 25+ databases and any API.
Implement work from an approved spec or ticket set, run focused and full tests, invoke code review, and commit the result to the current branch.
React and Next.js performance guidance for writing, reviewing, and refactoring production UI code.
--- name: coordination description: Pentest coordination — orchestrates executor and validator agents with context-controlled spawning. Entry point for all engagements. ---
# Coordination
Runs as a spawned subagent (one per target). Within its own context, the coordinator holds engagement state inline — it does not delegate its thinking to further sub-subagents. Thinks before every action.
The parent orchestrator (main session) **must not** execute this workflow inline. If you find yourself doing P1-P5 in the main session, you skipped the spawn step in `skills/hackthebox/SKILL.md` (or the relevant platform skill) and the bookkeeping discipline is silently disabled.
## Principle (Rule 0)
**Source code first.** Read all accessible source — application code, config, scripts, share contents — before any executor batch. Every answer is in the data you already have. Guessing without reading is the most common failure mode.
## Workflow
``` P0: Ingest scope ↓ P1: Recon + read source code → write attack-chain.md → run preflight-checklist ↓ ┌→ P2: Think — read chain + experiments.md, write 3 hypotheses (≥1 [wildcard]), pick 1-2 to test │ P2b: Research (conditional) — see reference/creative-research.md │ P3: Execute — spawn 1-2 executors with CHAIN_CONTEXT [+ RESEARCH_BRIEF] │ P4: Integrate — materialize each candidate; **validate it now** (interleaved, strict per-finding, │ fresh blind agents) → CONFIRMED | REJECTED | CURE→re-validate | DROPPED; update chain, revise theory │ Coverage flips only on VALID (coverage-by-VALID); REJECTED/DROPPED classes stay pending → keep searching │ No progress 1 batch → consider P2b · goal_attempts ≥ 3 on any conceptual goal → P4b └─ loop (max 30 experiments; mandatory skeptic at experiments 5, 15, 25)
P4b: Reset — re-read all recon + source + chain. Creative Research (mandatory). Fresh theory. P5: Engagement-thoroughness validation + Report (validated/ = VALID/REPAIRED only; drop-entirely, no gaps section) ```
### Steps
1. **Recon + Source Code** — read all accessible code (see `formats/reconnaissance.md`). Run pre-flight checklist (`reference/preflight-checklist.md`). 2. **Think** — write 3 hypotheses to `attack-chain.md`, ≥1 tagged `[wildcard]`. Pick 1-2 to spawn. 3. **Test** — 1-2 executors per batch, integrate before next. 4. **Validate (interleaved)** — validate each candidate the instant INTEGRATE materializes it, on fresh blind agents (strict per-finding cure/drop loop → CONFIRMED | REJECTED | CURE | DROPPED); at loop end run the engagement-thoroughness validator (see `reference/validator-role.md`). 5. **Report** — the `VALID`/`REPAIRED` findings in `{OUTPUT_DIR}/artifacts/validated/` (all of them, by construction) → Transilience PDF via `formats/transilience-report-style/SKILL.md`.
## attack-chain.md
`{OUTPUT_DIR}/attack-chain.md`. Updated every batch. Sections: services, surface, theory (3 hypotheses + chosen), tested, next. Bullets, max 50 lines, prune old items to one-liners.
## Bookkeeping
experiments.md ledger, tools/ logs, EXPERIMENT_ID injection, conceptual-goal counting — see `reference/bookkeeping.md`.
## Creative Research (P2b)
Triggers: P4b reset (mandatory), goal_attempts ≥ 3 on any goal, novel error class, source code unreadable, every executor returned negative, no hypothesis at P2, no progress for 1 batch. See `reference/creative-research.md`. Most batches skip P2b.
## Spawning
See `reference/spawning-recipes.md` for copy-paste-ready spawn patterns per role. Context contracts in `reference/context-injection.md`. Role boundaries in `reference/role-matrix.md`.
## Roles
| Role | File | Context | When | |------|------|---------|------| | Executor (explore) | `reference/executor-role.md` | Full chain + skills | Recon / breadth | | Executor (exploit) | `reference/executor-role.md` | Full chain + skills + scenarios | Confirmed theory | | Skeptic | `reference/skeptic-role.md` | experiments.md + recon (no chain) | Mandatory at experiments 5, 15, 25 | | Validator (finding) | `reference/validator-role.md` | Evidence only (blind) | Interleaved — each candidate the instant it's materialized; fresh each cure round | | Executor (cure) | `reference/executor-role.md` | Only named `failed_checks` + `missing_evidence` (no theory) | On a DEMOTED verdict, before re-validation | | Validator (engagement) | `reference/validator-role.md` | OUTPUT_DIR only (blind) | Once at loop end |
## Rules
1. **Autonomous.** Coordinator MUST NOT call `AskUserQuestion`. If a credential is missing, run `python3 tools/env-reader.py`; if it returns NOT_SET, terminate with `status=BLOCKED` and emit a clear blocker. Asking is the parent orchestrator's job. 2. **Think before acting.** Write 3 hypotheses (≥1 wildcard) to attack-chain.md before every batch. Record rejected ones — they are the search tree. 3. **Max 1-2 executors per batch.** Recon can use more. 4. **Pass chain context + specific PATT_URL** to executors. Not the full PATT map. 5. **30-experiment cap.** 6. **goal_attempts ≥ 3 on a conceptual goal** → P4b reset. Count by *goal*, not literal technique string. Five PKINIT cert variants chasing "use this cert to authenticate" = five strikes against one goal. See `reference/bookkeeping.md` for the goal column. 7. **Mandatory skeptic** at experiments 5, 15, 25 (see `reference/skeptic-role.md`). 8. **All output to OUTPUT_DIR.** 9. **Sequential flag progression** in multi-flag engagements. User-foothold first; root path usually flows from there. 10. **No partial completion as a success state.** A multi-flag engagement is incomplete until every flag submits. `status=FAILED_partial` is a temporary marker, never a final outcome. 11. **Phase 3 (skill-update + Slack + queue) is parent-orchestrator only.** Coordinator emits PHASE3_SUMMARY and exits. 12. **Source for library internals.** Before writing Python against any library API (Impacket, ldap3, pyasn1), read the source. Prefer CLI tools (secretsdump.py, ticketer.py, getST.py). 13. **Background command discipline.** State the specific result a tunnel/relay/listener will produce before spawning. 14. **Report gate.** Validated findings exist → Transilience PDF report required. Read `formats/transilience-report-style/pentest-report.md`. 15. **Validation completeness.** After validators run, every validated finding has `evidence/validation/validation-summary.md`. Flag any without proof.
## Token Discipline
- Internal output (chain, logs, reports): bullets, not prose. - Executor prompts: 1-2 relevant skill files + the specific PATT_URL. - attack-chain.md max 50 lines; bookkeeping max 10% of mission tokens. - User-facing output (reports, summaries): detailed.
## References
`reference/principles.md` · `reference/preflight-checklist.md` · `reference/role-matrix.md` · `reference/bookkeeping.md` · `reference/spawning-recipes.md` · `reference/context-injection.md` · `reference/creative-research.md` · `reference/executor-role.md` · `reference/skeptic-role.md` · `reference/validator-role.md` · `reference/VALIDATION.md` · `reference/ATTACK_INDEX.md` · `reference/OUTPUT_STRUCTURE.md` · `reference/GIT_CONVENTIONS.md` · `formats/INDEX.md`
Source provenance
Decision snapshot
509 GitHub stars
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for coordination, ready for a manual X post.
coordination: Pentest coordination — orchestrates executor and validator agents with context-controlled spa... 509 stars https://www.openagentskill.com/skills/transilienceai-coordination?ref=x
Listing + install path for coordination: https://www.openagentskill.com/skills/transilienceai-coordination?ref=x Install: npx skills add transilienceai/communitytools --skill coordination
Listing source
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Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
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Creator backlink kit
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[](https://www.openagentskill.com/skills/transilienceai-coordination?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/transilienceai-coordination?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/transilienceai-coordination/audit)
[](https://www.openagentskill.com/skills/transilienceai-coordination?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)transilienceai
@transilienceai
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Do not auto-install
Code Review
Review a branch or diff against repository standards and the originating spec in two independent analysis passes.
168.6K StarsAppsmith
Platform to build admin panels, internal tools, and dashboards. Integrates with 25+ databases and any API.
40.8K StarsImplement
Implement work from an approved spec or ticket set, run focused and full tests, invoke code review, and commit the result to the current branch.
175.7K StarsVercel React Best Practices
React and Next.js performance guidance for writing, reviewing, and refactoring production UI code.
30.9K StarsDo not auto-install
Install targets
Codex install prompt
Install the "coordination" agent skill from https://github.com/transilienceai/communitytools/tree/main/skills/coordination. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Pentest coordination — orchestrates executor and validator agents with context-controlled spawning. Entry point for all engagements. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"transilienceai-coordination","task":"Install coordination","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills.
Scenario
Coding agents
I need a coding agent that can understand a repository, edit code, and review pull requests.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add transilienceai/communitytools --skill coordination
Maintenance
active
1mo since push
Risk
Needs review
Dependency or permission surface needs review
GitHub quality
509
68/100 Quality · 67/100 Trust
Coverage tags
Review notes
Dependency or permission surface needs review · Permission surface may require sandboxing
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
PromisingUseful candidate, but compare it with alternatives before adopting.
Trust
Do not auto-installTrust Score v5 found insufficient evidence for agent installation. Treat this as discovery material, not an executable recommendation.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Choose a stronger alternative or inspect the source manually before any install attempt.
Stars
509 GitHub stars
Repo activity
509 stars, 75 forks
Maintenance
1mo since push
License
MIT
Install
npx skills add transilienceai/communitytools --skill coordination
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add transilienceai/communitytools --skill coordinationDo not use when
Alternative
168.6K Stars
npx skills add mattpocock/skills --skill code-review
Alternative
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Alternative
175.7K Stars
npx skills add mattpocock/skills --skill implement
Alternative
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npx skills add vercel-labs/agent-skills --skill vercel-react-best-practices
Agent safety v2
This skill should not be selected by an agent without explicit human security review.
Do not auto-install. Inspect the source, dependencies, and permission surface first.
high
Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
high
Skill metadata references credentials, tokens, environment variables, or secret-bearing workflows.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20coordination%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20coordination%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/transilienceai-coordination/install
Agent should check
Copy prompt
Task: Use coordination in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20coordination%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/transilienceai-coordination/install
Install command: npx skills add transilienceai/communitytools --skill coordination
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/transilienceai-coordination/install
LLM text format
/api/skills/transilienceai-coordination/install?format=text
Find alternatives
/api/skills/search?q=coordination&limit=3
Agent prompt
Use coordination for this task. Review https://www.openagentskill.com/api/skills/transilienceai-coordination/install, then install with: npx skills add transilienceai/communitytools --skill coordinationRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/transilienceai-coordination
LLM text
/api/registry/manifest/transilienceai-coordination?format=text
Install alias
/api/registry/install/transilienceai-coordination
Recommend
/api/registry/recommend?task=Use%20coordination%20in%20an%20agent%20workflow&limit=3
Agent fit
Research agents
Use-case tags
Platforms
Claude Code
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Shortlist this skill and compare it with close alternatives before production adoption.
Role in stack
Companion skill
Primary fit
Research agents
Trust label
Strong shortlist
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Trust Score v5 found insufficient evidence for agent installation. Treat this as discovery material, not an executable recommendation.
GitHub adoption
INFO509 GitHub stars
Stars/forks activity
INFO509 stars, 75 forks; issue activity unavailable in current metadata
Recent maintenance
PASS1mo since push
License clarity
PASSMIT
Good signals
Review before install
Recommended action
Choose a stronger alternative or inspect the source manually before any install attempt.
Quality profile
Useful candidate, but compare it with alternatives before adopting.
Workflow fit
Investigate faster
I need my agent to research a topic, compare sources, and produce a concise report.
Search private knowledge
I need my agent to build a RAG workflow over documents and retrieve reliable context.
Operate web apps
I need my agent to control a browser, fill forms, and verify web app workflows.
Workflow fit
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Ingest, retrieve, and cite
A workflow for document-heavy agents that ingest files, create searchable knowledge, retrieve relevant context, and answer with grounded sources.
Operate and verify web apps
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Alternative shortlist
Similar skills that may fit this task.
Review a branch or diff against repository standards and the originating spec in two independent analysis passes.
Platform to build admin panels, internal tools, and dashboards. Integrates with 25+ databases and any API.
Implement work from an approved spec or ticket set, run focused and full tests, invoke code review, and commit the result to the current branch.
React and Next.js performance guidance for writing, reviewing, and refactoring production UI code.
--- name: coordination description: Pentest coordination — orchestrates executor and validator agents with context-controlled spawning. Entry point for all engagements. ---
# Coordination
Runs as a spawned subagent (one per target). Within its own context, the coordinator holds engagement state inline — it does not delegate its thinking to further sub-subagents. Thinks before every action.
The parent orchestrator (main session) **must not** execute this workflow inline. If you find yourself doing P1-P5 in the main session, you skipped the spawn step in `skills/hackthebox/SKILL.md` (or the relevant platform skill) and the bookkeeping discipline is silently disabled.
## Principle (Rule 0)
**Source code first.** Read all accessible source — application code, config, scripts, share contents — before any executor batch. Every answer is in the data you already have. Guessing without reading is the most common failure mode.
## Workflow
``` P0: Ingest scope ↓ P1: Recon + read source code → write attack-chain.md → run preflight-checklist ↓ ┌→ P2: Think — read chain + experiments.md, write 3 hypotheses (≥1 [wildcard]), pick 1-2 to test │ P2b: Research (conditional) — see reference/creative-research.md │ P3: Execute — spawn 1-2 executors with CHAIN_CONTEXT [+ RESEARCH_BRIEF] │ P4: Integrate — materialize each candidate; **validate it now** (interleaved, strict per-finding, │ fresh blind agents) → CONFIRMED | REJECTED | CURE→re-validate | DROPPED; update chain, revise theory │ Coverage flips only on VALID (coverage-by-VALID); REJECTED/DROPPED classes stay pending → keep searching │ No progress 1 batch → consider P2b · goal_attempts ≥ 3 on any conceptual goal → P4b └─ loop (max 30 experiments; mandatory skeptic at experiments 5, 15, 25)
P4b: Reset — re-read all recon + source + chain. Creative Research (mandatory). Fresh theory. P5: Engagement-thoroughness validation + Report (validated/ = VALID/REPAIRED only; drop-entirely, no gaps section) ```
### Steps
1. **Recon + Source Code** — read all accessible code (see `formats/reconnaissance.md`). Run pre-flight checklist (`reference/preflight-checklist.md`). 2. **Think** — write 3 hypotheses to `attack-chain.md`, ≥1 tagged `[wildcard]`. Pick 1-2 to spawn. 3. **Test** — 1-2 executors per batch, integrate before next. 4. **Validate (interleaved)** — validate each candidate the instant INTEGRATE materializes it, on fresh blind agents (strict per-finding cure/drop loop → CONFIRMED | REJECTED | CURE | DROPPED); at loop end run the engagement-thoroughness validator (see `reference/validator-role.md`). 5. **Report** — the `VALID`/`REPAIRED` findings in `{OUTPUT_DIR}/artifacts/validated/` (all of them, by construction) → Transilience PDF via `formats/transilience-report-style/SKILL.md`.
## attack-chain.md
`{OUTPUT_DIR}/attack-chain.md`. Updated every batch. Sections: services, surface, theory (3 hypotheses + chosen), tested, next. Bullets, max 50 lines, prune old items to one-liners.
## Bookkeeping
experiments.md ledger, tools/ logs, EXPERIMENT_ID injection, conceptual-goal counting — see `reference/bookkeeping.md`.
## Creative Research (P2b)
Triggers: P4b reset (mandatory), goal_attempts ≥ 3 on any goal, novel error class, source code unreadable, every executor returned negative, no hypothesis at P2, no progress for 1 batch. See `reference/creative-research.md`. Most batches skip P2b.
## Spawning
See `reference/spawning-recipes.md` for copy-paste-ready spawn patterns per role. Context contracts in `reference/context-injection.md`. Role boundaries in `reference/role-matrix.md`.
## Roles
| Role | File | Context | When | |------|------|---------|------| | Executor (explore) | `reference/executor-role.md` | Full chain + skills | Recon / breadth | | Executor (exploit) | `reference/executor-role.md` | Full chain + skills + scenarios | Confirmed theory | | Skeptic | `reference/skeptic-role.md` | experiments.md + recon (no chain) | Mandatory at experiments 5, 15, 25 | | Validator (finding) | `reference/validator-role.md` | Evidence only (blind) | Interleaved — each candidate the instant it's materialized; fresh each cure round | | Executor (cure) | `reference/executor-role.md` | Only named `failed_checks` + `missing_evidence` (no theory) | On a DEMOTED verdict, before re-validation | | Validator (engagement) | `reference/validator-role.md` | OUTPUT_DIR only (blind) | Once at loop end |
## Rules
1. **Autonomous.** Coordinator MUST NOT call `AskUserQuestion`. If a credential is missing, run `python3 tools/env-reader.py`; if it returns NOT_SET, terminate with `status=BLOCKED` and emit a clear blocker. Asking is the parent orchestrator's job. 2. **Think before acting.** Write 3 hypotheses (≥1 wildcard) to attack-chain.md before every batch. Record rejected ones — they are the search tree. 3. **Max 1-2 executors per batch.** Recon can use more. 4. **Pass chain context + specific PATT_URL** to executors. Not the full PATT map. 5. **30-experiment cap.** 6. **goal_attempts ≥ 3 on a conceptual goal** → P4b reset. Count by *goal*, not literal technique string. Five PKINIT cert variants chasing "use this cert to authenticate" = five strikes against one goal. See `reference/bookkeeping.md` for the goal column. 7. **Mandatory skeptic** at experiments 5, 15, 25 (see `reference/skeptic-role.md`). 8. **All output to OUTPUT_DIR.** 9. **Sequential flag progression** in multi-flag engagements. User-foothold first; root path usually flows from there. 10. **No partial completion as a success state.** A multi-flag engagement is incomplete until every flag submits. `status=FAILED_partial` is a temporary marker, never a final outcome. 11. **Phase 3 (skill-update + Slack + queue) is parent-orchestrator only.** Coordinator emits PHASE3_SUMMARY and exits. 12. **Source for library internals.** Before writing Python against any library API (Impacket, ldap3, pyasn1), read the source. Prefer CLI tools (secretsdump.py, ticketer.py, getST.py). 13. **Background command discipline.** State the specific result a tunnel/relay/listener will produce before spawning. 14. **Report gate.** Validated findings exist → Transilience PDF report required. Read `formats/transilience-report-style/pentest-report.md`. 15. **Validation completeness.** After validators run, every validated finding has `evidence/validation/validation-summary.md`. Flag any without proof.
## Token Discipline
- Internal output (chain, logs, reports): bullets, not prose. - Executor prompts: 1-2 relevant skill files + the specific PATT_URL. - attack-chain.md max 50 lines; bookkeeping max 10% of mission tokens. - User-facing output (reports, summaries): detailed.
## References
`reference/principles.md` · `reference/preflight-checklist.md` · `reference/role-matrix.md` · `reference/bookkeeping.md` · `reference/spawning-recipes.md` · `reference/context-injection.md` · `reference/creative-research.md` · `reference/executor-role.md` · `reference/skeptic-role.md` · `reference/validator-role.md` · `reference/VALIDATION.md` · `reference/ATTACK_INDEX.md` · `reference/OUTPUT_STRUCTURE.md` · `reference/GIT_CONVENTIONS.md` · `formats/INDEX.md`
Source provenance
Decision snapshot
509 GitHub stars
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for coordination, ready for a manual X post.
coordination: Pentest coordination — orchestrates executor and validator agents with context-controlled spa... 509 stars https://www.openagentskill.com/skills/transilienceai-coordination?ref=x
Listing + install path for coordination: https://www.openagentskill.com/skills/transilienceai-coordination?ref=x Install: npx skills add transilienceai/communitytools --skill coordination
Listing source
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
This Registry indexed listing is attributed to transilienceai but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
Creator backlink kit
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
[](https://www.openagentskill.com/skills/transilienceai-coordination?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/transilienceai-coordination?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/transilienceai-coordination/audit)
[](https://www.openagentskill.com/skills/transilienceai-coordination?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)transilienceai
@transilienceai
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Do not auto-install
Code Review
Review a branch or diff against repository standards and the originating spec in two independent analysis passes.
168.6K StarsAppsmith
Platform to build admin panels, internal tools, and dashboards. Integrates with 25+ databases and any API.
40.8K StarsImplement
Implement work from an approved spec or ticket set, run focused and full tests, invoke code review, and commit the result to the current branch.
175.7K StarsVercel React Best Practices
React and Next.js performance guidance for writing, reviewing, and refactoring production UI code.
30.9K StarsDo not auto-install
Install targets
Codex install prompt
Install the "coordination" agent skill from https://github.com/transilienceai/communitytools/tree/main/skills/coordination. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Pentest coordination — orchestrates executor and validator agents with context-controlled spawning. Entry point for all engagements. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"transilienceai-coordination","task":"Install coordination","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills.
Scenario
Coding agents
I need a coding agent that can understand a repository, edit code, and review pull requests.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add transilienceai/communitytools --skill coordination
Maintenance
active
1mo since push
Risk
Needs review
Dependency or permission surface needs review
GitHub quality
509
68/100 Quality · 67/100 Trust
Coverage tags
Review notes
Dependency or permission surface needs review · Permission surface may require sandboxing
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
PromisingUseful candidate, but compare it with alternatives before adopting.
Trust
Do not auto-installTrust Score v5 found insufficient evidence for agent installation. Treat this as discovery material, not an executable recommendation.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Choose a stronger alternative or inspect the source manually before any install attempt.
Stars
509 GitHub stars
Repo activity
509 stars, 75 forks
Maintenance
1mo since push
License
MIT
Install
npx skills add transilienceai/communitytools --skill coordination
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add transilienceai/communitytools --skill coordinationDo not use when
Alternative
168.6K Stars
npx skills add mattpocock/skills --skill code-review
Alternative
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Alternative
175.7K Stars
npx skills add mattpocock/skills --skill implement
Alternative
30.9K Stars
npx skills add vercel-labs/agent-skills --skill vercel-react-best-practices
Agent safety v2
This skill should not be selected by an agent without explicit human security review.
Do not auto-install. Inspect the source, dependencies, and permission surface first.
high
Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
high
Skill metadata references credentials, tokens, environment variables, or secret-bearing workflows.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20coordination%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20coordination%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/transilienceai-coordination/install
Agent should check
Copy prompt
Task: Use coordination in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20coordination%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/transilienceai-coordination/install
Install command: npx skills add transilienceai/communitytools --skill coordination
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/transilienceai-coordination/install
LLM text format
/api/skills/transilienceai-coordination/install?format=text
Find alternatives
/api/skills/search?q=coordination&limit=3
Agent prompt
Use coordination for this task. Review https://www.openagentskill.com/api/skills/transilienceai-coordination/install, then install with: npx skills add transilienceai/communitytools --skill coordinationRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/transilienceai-coordination
LLM text
/api/registry/manifest/transilienceai-coordination?format=text
Install alias
/api/registry/install/transilienceai-coordination
Recommend
/api/registry/recommend?task=Use%20coordination%20in%20an%20agent%20workflow&limit=3
Agent fit
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--- name: coordination description: Pentest coordination — orchestrates executor and validator agents with context-controlled spawning. Entry point for all engagements. ---
# Coordination
Runs as a spawned subagent (one per target). Within its own context, the coordinator holds engagement state inline — it does not delegate its thinking to further sub-subagents. Thinks before every action.
The parent orchestrator (main session) **must not** execute this workflow inline. If you find yourself doing P1-P5 in the main session, you skipped the spawn step in `skills/hackthebox/SKILL.md` (or the relevant platform skill) and the bookkeeping discipline is silently disabled.
## Principle (Rule 0)
**Source code first.** Read all accessible source — application code, config, scripts, share contents — before any executor batch. Every answer is in the data you already have. Guessing without reading is the most common failure mode.
## Workflow
``` P0: Ingest scope ↓ P1: Recon + read source code → write attack-chain.md → run preflight-checklist ↓ ┌→ P2: Think — read chain + experiments.md, write 3 hypotheses (≥1 [wildcard]), pick 1-2 to test │ P2b: Research (conditional) — see reference/creative-research.md │ P3: Execute — spawn 1-2 executors with CHAIN_CONTEXT [+ RESEARCH_BRIEF] │ P4: Integrate — materialize each candidate; **validate it now** (interleaved, strict per-finding, │ fresh blind agents) → CONFIRMED | REJECTED | CURE→re-validate | DROPPED; update chain, revise theory │ Coverage flips only on VALID (coverage-by-VALID); REJECTED/DROPPED classes stay pending → keep searching │ No progress 1 batch → consider P2b · goal_attempts ≥ 3 on any conceptual goal → P4b └─ loop (max 30 experiments; mandatory skeptic at experiments 5, 15, 25)
P4b: Reset — re-read all recon + source + chain. Creative Research (mandatory). Fresh theory. P5: Engagement-thoroughness validation + Report (validated/ = VALID/REPAIRED only; drop-entirely, no gaps section) ```
### Steps
1. **Recon + Source Code** — read all accessible code (see `formats/reconnaissance.md`). Run pre-flight checklist (`reference/preflight-checklist.md`). 2. **Think** — write 3 hypotheses to `attack-chain.md`, ≥1 tagged `[wildcard]`. Pick 1-2 to spawn. 3. **Test** — 1-2 executors per batch, integrate before next. 4. **Validate (interleaved)** — validate each candidate the instant INTEGRATE materializes it, on fresh blind agents (strict per-finding cure/drop loop → CONFIRMED | REJECTED | CURE | DROPPED); at loop end run the engagement-thoroughness validator (see `reference/validator-role.md`). 5. **Report** — the `VALID`/`REPAIRED` findings in `{OUTPUT_DIR}/artifacts/validated/` (all of them, by construction) → Transilience PDF via `formats/transilience-report-style/SKILL.md`.
## attack-chain.md
`{OUTPUT_DIR}/attack-chain.md`. Updated every batch. Sections: services, surface, theory (3 hypotheses + chosen), tested, next. Bullets, max 50 lines, prune old items to one-liners.
## Bookkeeping
experiments.md ledger, tools/ logs, EXPERIMENT_ID injection, conceptual-goal counting — see `reference/bookkeeping.md`.
## Creative Research (P2b)
Triggers: P4b reset (mandatory), goal_attempts ≥ 3 on any goal, novel error class, source code unreadable, every executor returned negative, no hypothesis at P2, no progress for 1 batch. See `reference/creative-research.md`. Most batches skip P2b.
## Spawning
See `reference/spawning-recipes.md` for copy-paste-ready spawn patterns per role. Context contracts in `reference/context-injection.md`. Role boundaries in `reference/role-matrix.md`.
## Roles
| Role | File | Context | When | |------|------|---------|------| | Executor (explore) | `reference/executor-role.md` | Full chain + skills | Recon / breadth | | Executor (exploit) | `reference/executor-role.md` | Full chain + skills + scenarios | Confirmed theory | | Skeptic | `reference/skeptic-role.md` | experiments.md + recon (no chain) | Mandatory at experiments 5, 15, 25 | | Validator (finding) | `reference/validator-role.md` | Evidence only (blind) | Interleaved — each candidate the instant it's materialized; fresh each cure round | | Executor (cure) | `reference/executor-role.md` | Only named `failed_checks` + `missing_evidence` (no theory) | On a DEMOTED verdict, before re-validation | | Validator (engagement) | `reference/validator-role.md` | OUTPUT_DIR only (blind) | Once at loop end |
## Rules
1. **Autonomous.** Coordinator MUST NOT call `AskUserQuestion`. If a credential is missing, run `python3 tools/env-reader.py`; if it returns NOT_SET, terminate with `status=BLOCKED` and emit a clear blocker. Asking is the parent orchestrator's job. 2. **Think before acting.** Write 3 hypotheses (≥1 wildcard) to attack-chain.md before every batch. Record rejected ones — they are the search tree. 3. **Max 1-2 executors per batch.** Recon can use more. 4. **Pass chain context + specific PATT_URL** to executors. Not the full PATT map. 5. **30-experiment cap.** 6. **goal_attempts ≥ 3 on a conceptual goal** → P4b reset. Count by *goal*, not literal technique string. Five PKINIT cert variants chasing "use this cert to authenticate" = five strikes against one goal. See `reference/bookkeeping.md` for the goal column. 7. **Mandatory skeptic** at experiments 5, 15, 25 (see `reference/skeptic-role.md`). 8. **All output to OUTPUT_DIR.** 9. **Sequential flag progression** in multi-flag engagements. User-foothold first; root path usually flows from there. 10. **No partial completion as a success state.** A multi-flag engagement is incomplete until every flag submits. `status=FAILED_partial` is a temporary marker, never a final outcome. 11. **Phase 3 (skill-update + Slack + queue) is parent-orchestrator only.** Coordinator emits PHASE3_SUMMARY and exits. 12. **Source for library internals.** Before writing Python against any library API (Impacket, ldap3, pyasn1), read the source. Prefer CLI tools (secretsdump.py, ticketer.py, getST.py). 13. **Background command discipline.** State the specific result a tunnel/relay/listener will produce before spawning. 14. **Report gate.** Validated findings exist → Transilience PDF report required. Read `formats/transilience-report-style/pentest-report.md`. 15. **Validation completeness.** After validators run, every validated finding has `evidence/validation/validation-summary.md`. Flag any without proof.
## Token Discipline
- Internal output (chain, logs, reports): bullets, not prose. - Executor prompts: 1-2 relevant skill files + the specific PATT_URL. - attack-chain.md max 50 lines; bookkeeping max 10% of mission tokens. - User-facing output (reports, summaries): detailed.
## References
`reference/principles.md` · `reference/preflight-checklist.md` · `reference/role-matrix.md` · `reference/bookkeeping.md` · `reference/spawning-recipes.md` · `reference/context-injection.md` · `reference/creative-research.md` · `reference/executor-role.md` · `reference/skeptic-role.md` · `reference/validator-role.md` · `reference/VALIDATION.md` · `reference/ATTACK_INDEX.md` · `reference/OUTPUT_STRUCTURE.md` · `reference/GIT_CONVENTIONS.md` · `formats/INDEX.md`
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Scenario-led draft for coordination, ready for a manual X post.
coordination: Pentest coordination — orchestrates executor and validator agents with context-controlled spa... 509 stars https://www.openagentskill.com/skills/transilienceai-coordination?ref=x
Listing + install path for coordination: https://www.openagentskill.com/skills/transilienceai-coordination?ref=x Install: npx skills add transilienceai/communitytools --skill coordination
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Review a branch or diff against repository standards and the originating spec in two independent analysis passes.
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secrets or environment access, shell or command execution
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Docs
Strong README/SKILL.md context
Risk summary
Install readiness
Permission surface
secrets or environment access, shell or command execution
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Docs
Strong README/SKILL.md context
Risk summary
Install readiness
Permission surface
secrets or environment access, shell or command execution
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Install readiness